Model Context Protocol Servers and Tools – MCP Servers List and Latest News

Cloud Platforms & Infrastructure

This section lists MCP servers designed to interact directly with major cloud provider services like AWS, Azure, and others, enabling management of compute, storage, networking, specific PaaS/IaaS offerings, and infrastructure configuration.

AWS Core MCP Server

Provided by Amazon Web Services, this server acts as a central coordinator for managing other AWS-specific MCP servers within an environment. It plays a key role in the modular architecture AWS has adopted for its MCP implementations. This allows for streamlined deployment and discovery of various AWS tools exposed via the protocol.

Project Page/Repository: AWS Core MCP Server Documentation

AWS CDK MCP Server

Developed by AWS, this server integrates with the AWS Cloud Development Kit (CDK), a popular framework for defining cloud infrastructure in code. It enables AI assistants to interact with CDK applications, potentially assisting with tasks like synthesizing stacks, deploying infrastructure, or listing resources defined in CDK projects. This facilitates Infrastructure as Code (IaC) workflows directly through conversational AI interfaces.

Project Page/Repository: AWS CDK MCP Server Documentation

AWS Cost Analysis MCP Server

This official AWS MCP server allows AI assistants to query AWS cost and usage data using natural language. Users can ask questions about their spending patterns, identify cost drivers, and gain insights into their AWS bills without needing to navigate the Cost Explorer console directly. It provides a conversational interface for financial oversight of AWS resources.

Project Page/Repository: AWS Cost Analysis MCP Server Documentation

AWS Diagram MCP Server

Part of the AWS MCP suite, this server aids developers in generating AWS architecture diagrams programmatically. AI assistants can leverage this tool to create visual representations of cloud infrastructure based on user descriptions or existing configurations. It uses Python code execution facilitated by the server to generate the diagrams.

Project Page/Repository: AWS Diagram MCP Server Documentation

AWS Lambda MCP Server

This server allows AI agents to invoke specific AWS Lambda functions directly as tools through the Model Context Protocol. It effectively extends the capabilities of an AI assistant by enabling it to trigger pre-defined serverless compute tasks for automation or custom logic execution. By exposing specific functions rather than general access, it provides a controlled way to integrate backend processes into AI workflows.

Project Page/Repository: AWS Lambda MCP Server Documentation

AWS Terraform MCP Server

An official AWS tool providing MCP access for managing infrastructure defined using HashiCorp Terraform. AI assistants can use this server to plan, apply, or destroy Terraform configurations targeting AWS resources. It also integrates Checkov for static security analysis of the Terraform code before deployment.

Project Page/Repository: AWS Terraform MCP Server Documentation

Azure CLI MCP Server

Developed by the community, this MCP Server wraps the Azure Command-Line Interface (CLI), exposing its functionality via MCP. It enhances the interaction by adding a specific prompt structure to improve usability with AI assistants. This allows for managing Azure resources using the familiar `az` commands through a conversational interface.

Project Page/Repository: Azure CLI MCP GitHub Repository

Azure Data Lake Storage (ADLS) Gen2 MCP Server

This community-developed server provides an MCP interface for Azure Data Lake Storage Gen2. It enables standardized interaction with ADLS2, allowing AI assistants to perform file operations (like listing, reading, writing) within the storage account. This facilitates data manipulation tasks within ADLS directly from MCP-compatible clients.

Project Page/Repository: ADLS MCP Server GitHub Repository

Azure DevOps MCP Server (Community)

A community implementation of an MCP server for Azure DevOps, allowing AI assistants to interact with Azure DevOps APIs. This enables managing work items, builds, releases, and other aspects of the DevOps lifecycle via MCP. It provides a standardized protocol interface to Azure DevOps services.

Project Page/Repository: Azure DevOps MCP Server GitHub Repository (Tiberriver256)

Azure DevOps MCP Server (Vortiago)

Another community effort providing an MCP server for interacting with Azure DevOps services. This server focuses on enabling AI assistants to interface with various Azure DevOps functionalities. It aims to streamline development workflows by allowing conversational control over DevOps processes.

Project Page/Repository: Azure DevOps MCP Server GitHub Repository (Vortiago)

Azure MCP Server (Official)

Microsoft’s official general-purpose MCP server for Azure, released in public preview. It enables AI agents to interact with key services including Azure Cosmos DB, Azure Storage (Blobs, Tables), Azure Monitor (Log Analytics), Azure App Configuration, and Azure Resource Groups. It also supports direct execution of Azure CLI and Azure Developer CLI (`azd`) commands.

Project Page/Repository: Azure MCP Server GitHub Repository

Azure Resource Graph MCP Server

This community server provides MCP access to Azure Resource Graph queries. It allows AI assistants to retrieve information about Azure resources across subscriptions using the powerful Resource Graph query language. This facilitates inventory and governance tasks through natural language queries.

Project Page/Repository: Azure Resource Graph MCP Server GitHub Repository

Cloudflare MCP Server

An MCP server and installer provided by Cloudflare for interacting with the Cloudflare API. This allows AI assistants to manage various Cloudflare services, potentially including DNS, WAF rules, Workers, or other features exposed through their API. It standardizes interaction with Cloudflare for MCP-compatible clients.

Project Page/Repository: Cloudflare MCP Server GitHub Repository

Firebase MCP Server

This server enables interaction with Firebase projects via MCP. It allows AI assistants to manage Firebase services, potentially including Firestore, Realtime Database, Authentication, or Cloud Functions, depending on the specific tools implemented. This facilitates backend management through conversational interfaces.

Project Page/Repository: Firebase MCP Server GitHub Repository

Heroku MCP Server

The official Heroku MCP server allows interaction with the Heroku platform via MCP. It supports operations across Common Runtime, Cedar Private, Shield Spaces, and Fir Private Spaces. This enables AI assistants to manage Heroku applications, dynos, add-ons, and other platform resources.

Project Page/Repository: Heroku MCP Server GitHub Repository

Kong Konnect MCP Server

Provided by Kong, this MCP server allows interaction with Kong Konnect APIs. AI assistants can use it to query and analyze Kong Gateway configurations, traffic patterns, and analytics data. It provides a standardized way to manage and monitor the API gateway infrastructure.

Project Page/Repository: Kong Konnect MCP Server GitHub Repository

Kubernetes MCP Server (Flux159)

A community MCP server designed to connect to and manage a Kubernetes cluster. This allows AI assistants to perform `kubectl`-like operations, such as deploying applications, inspecting pods, or managing services, through the MCP interface. It provides conversational control over Kubernetes resources.

Project Page/Repository: Kubernetes MCP Server GitHub Repository (Flux159)

Metoro MCP Server (Kubernetes)

This MCP server from Metoro allows interaction with Kubernetes clusters via clients like the Claude Desktop App. It focuses on enabling AI-driven management and observation of Kubernetes environments. It likely provides tools for inspecting resources, logs, and potentially managing deployments.

Project Page/Repository: Metoro MCP Server GitHub Repository

mcp-k8s (Kubernetes)

Another community MCP server enabling interaction with Kubernetes clusters through MCP tools. Developed by Silenceper, it likely offers capabilities similar to other Kubernetes MCP servers, such as resource inspection and management. This provides another option for conversational Kubernetes operations.

Project Page/Repository: mcp-k8s GitHub Repository

mcp-k8s-eye (Kubernetes)

This MCP server, created by wenhuwang, is designed to manage Kubernetes clusters and analyze workload status. It focuses on providing observability and management capabilities for Kubernetes environments via MCP. AI assistants can use this to monitor and potentially troubleshoot cluster health.

Project Page/Repository: mcp-k8s-eye GitHub Repository

Multicluster MCP Server (Kubernetes)

Developed by yanmxa, this server acts as a gateway for AI systems to interact with *multiple* Kubernetes clusters via MCP. It facilitates operations across clusters, streamlined management, and interactive observability. This is particularly useful for managing complex, multi-cluster environments conversationally.

Project Page/Repository: Multicluster MCP Server GitHub Repository

Netskope NPA MCP Server

This server manages Netskope Network Private Access (NPA) infrastructure through LLMs via MCP. It allows administrators or AI assistants to interact with Netskope’s private access solution, potentially managing policies, users, or tunnels. This brings conversational AI capabilities to SASE/SSE management.

Project Page/Repository: Netskope MCP Server GitHub Repository

Nutanix MCP Server

An MCP server for interacting with Nutanix Prism Central APIs through Large Language Models. This allows AI assistants to manage Nutanix hyperconverged infrastructure, potentially including VMs, storage, and networking components. It provides a conversational layer over the Nutanix management plane.

Project Page/Repository: Nutanix MCP Server GitHub Repository

OpenDAL MCP Server

Developed by Xuanwo (an Apache OpenDAL committer), this MCP server implementation provides access to various storage services unified under the Apache OpenDAL™ library. This allows interaction with diverse storage backends (like S3, Azure Blob, GCS, local filesystem, FTP, etc.) through a single, consistent MCP interface. It simplifies data access across different storage systems for AI agents.

Project Page/Repository: OpenDAL MCP Server GitHub Repository

Wanaku – MCP Router

Positioned as an MCP Router, Wanaku aims to connect everything, acting as a central hub for AI applications. It likely functions as a middleware layer, potentially managing connections to multiple other MCP servers or tools. This could simplify client configuration by providing a single endpoint for diverse capabilities.

Project Page/Repository: Wanaku GitHub Repository

Databases & Data Storage

This category includes MCP servers specifically designed for interacting with various database systems (SQL, NoSQL, Vector, Graph, Time-Series), data warehouses, knowledge bases, and data storage platforms, enabling AI agents to query, manage, and analyze structured and unstructured data.

Azure Database for PostgreSQL MCP Server (Official)

Provided by Microsoft as a public preview, this server offers focused tools for interacting with Azure Database for PostgreSQL Flexible Server instances. It allows AI clients like Claude Desktop and VS Code Copilot Agent Mode to manage databases and tables, execute read/write queries, and access server configurations using natural language prompts. Authentication primarily uses Microsoft Entra ID, and setup requires a Python environment.

Project Page/Repository: Azure Database for PostgreSQL MCP Server GitHub Repository

AWS Bedrock Knowledge Bases Retrieval MCP Server

An official AWS server enabling AI assistants to query private enterprise data hosted within Amazon Bedrock Knowledge Bases. This facilitates Retrieval-Augmented Generation (RAG) use cases, where the AI can retrieve relevant information from proprietary documents to enhance its responses. It provides secure access to organizational knowledge stored in Bedrock.

Project Page/Repository: AWS Bedrock KB Retrieval MCP Server Documentation

BigQuery MCP Server

This community server provides secure, read-only access to Google BigQuery datasets via MCP. It allows Large Language Models (LLMs) to safely query and analyze data stored in BigQuery using standard SQL through a standardized interface. This enables conversational data exploration and analysis within BigQuery.

Project Page/Repository: BigQuery MCP Server GitHub Repository

CentralMind Gateway

CentralMind Gateway acts as a bridge, exposing databases to AI agents via either MCP or OpenAPI 3.1 protocols. It simplifies the process of making database content accessible to AI systems for querying and interaction. This tool aims to be a straightforward way to connect existing data stores to the AI ecosystem.

Project Page/Repository: CentralMind Gateway GitHub Repository

Chroma MCP Server

This official server from Chroma provides vector database capabilities via MCP. It enables AI models to create collections, add documents (from generated data or user input), and retrieve relevant information using vector search, full-text search, and metadata filtering. It’s designed for building RAG applications and other AI features requiring semantic search over custom data.

Project Page/Repository: Chroma MCP Server GitHub Repository

Databricks MCP Server

A community-provided MCP server that connects to the Databricks API. It allows LLMs to interact with the Databricks Lakehouse Platform, specifically enabling them to run SQL queries, list Databricks jobs, and retrieve the status of those jobs. This facilitates data analysis and workflow management within Databricks via conversational AI.

Project Page/Repository: Databricks MCP Server GitHub Repository

DuckDB MCP Server

This MCP server implementation allows interaction with DuckDB, an in-process analytical data management system. It provides database interaction capabilities through MCP tools, likely enabling AI assistants to query data loaded into DuckDB or managed by it. This is useful for local data analysis tasks driven by AI.

Project Page/Repository: DuckDB MCP Server GitHub Repository

Elasticsearch/OpenSearch MCP Server

Developed by the community, this MCP server provides interaction capabilities with both Elasticsearch and OpenSearch clusters. It enables AI assistants to query and potentially manage data within these popular search and analytics engines. This allows for conversational access to log data, search indices, and other information stored in these systems.

Project Page/Repository: Elasticsearch/OpenSearch MCP Server GitHub Repository

go-mcp-mysql

A ready-to-use MCP server written in Go for interacting with MySQL databases and related automation tasks. It provides a zero-burden way to connect AI agents to MySQL instances for data querying and potentially other database operations. This implementation offers an alternative written in Go for MySQL connectivity.

Project Page/Repository: go-mcp-mysql GitHub Repository

InfluxDB MCP Server

This MCP server exposes access to an InfluxDB (time-series database) instance using the InfluxDB OSS API v2. It allows AI assistants to query time-series data, potentially for monitoring, analytics, or IoT applications. The server was reportedly built largely with Claude Code assistance.

Project Page/Repository: InfluxDB MCP Server GitHub Repository

MCP Server for ArangoDB

An MCP server designed for interacting with ArangoDB, a multi-model database supporting graph, document, and key/value data models. This allows AI assistants to query and potentially manipulate data stored within ArangoDB clusters. It provides a standardized interface for complex data interactions.

Project Page/Repository: ArangoDB MCP Server GitHub Repository

MCP Server for MySQL

Developed by benborla, this MCP server provides access to MySQL databases. It specifically enables LLMs to inspect database schemas and execute SQL queries against MySQL instances. This facilitates database exploration and data retrieval through conversational AI.

Project Page/Repository: MySQL MCP Server GitHub Repository (benborla)

mcp-mongo-server

This MCP server provides connectivity to MongoDB databases. Developed by kiliczsh, it likely allows AI assistants to query collections, inspect documents, and perform other MongoDB operations via the MCP protocol. It offers a way to interact with MongoDB using natural language through compatible clients.

Project Page/Repository: mcp-mongo-server GitHub Repository

MongoDB Lens

MongoDB Lens is described as a local MCP server offering full-featured access to MongoDB databases using natural language via LLMs. It enables performing queries, running aggregations, optimizing performance, and more. It aims to provide a comprehensive conversational interface for MongoDB management and analysis.

Project Page/Repository: MongoDB Lens GitHub Repository

MCP Neo4j Server

An MCP server providing integration between the Neo4j graph database and clients like Claude Desktop. It enables graph database operations, such as running Cypher queries or exploring graph structures, through natural language interactions. This allows AI assistants to leverage the power of graph data.

Project Page/Repository: MCP Neo4j Server GitHub Repository

Neon MCP Server

The official MCP server for Neon (serverless PostgreSQL platform). It allows users to interact with their Neon Postgres databases using natural language queries processed by AI assistants. This simplifies database management and querying for Neon users through conversational AI.

Project Page/Repository: Neon MCP Server GitHub Repository

Nocodb MCP Server

This server enables seamless interaction with a Nocodb (open-source Airtable alternative) database using MCP. It facilitates CRUD (Create, Read, Update, Delete) operations on Nocodb tables via AI assistants. This allows managing Nocodb data through conversational commands.

Project Page/Repository: Nocodb MCP Server GitHub Repository

OceanBase MCP Server

An MCP server enabling secure interaction with OceanBase databases (distributed SQL database). This allows AI assistants to query and potentially manage data within OceanBase clusters. It provides a standardized protocol layer for interacting with this specific database system.

Project Page/Repository: OceanBase MCP Server GitHub Repository (yuanoOo)

Pinecone MCP Server

This community server allows reading from and writing to a Pinecone (vector database) index via MCP. It enables AI assistants to manage vector embeddings and perform semantic searches within Pinecone. This is useful for AI applications involving similarity search or RAG.

Project Page/Repository: Pinecone MCP Server GitHub Repository

PostgreSQL MCP Server (Reference)

A reference MCP server implementation from the `modelcontextprotocol` repository providing read-only access to PostgreSQL databases. It enables LLMs to inspect database schemas and execute read-only SQL queries. It serves as a foundational example for PostgreSQL integration.

Project Page/Repository: PostgreSQL MCP Server (Reference) GitHub Directory

Qdrant MCP Server

The official MCP server implementation for Qdrant, a vector database. It allows AI assistants to interact with Qdrant instances for tasks like managing vector collections, searching for similar vectors, and filtering results. This enables building AI applications requiring vector search capabilities using MCP.

Project Page/Repository: Qdrant MCP Server GitHub Repository

SQLite MCP Server (Reference)

A reference implementation from the `modelcontextprotocol` repository for interacting with SQLite databases via MCP. It likely provides basic functionalities like schema inspection and query execution for local SQLite files. This serves as a simple example for database interaction over MCP.

Project Page/Repository: SQLite MCP Server (Reference) GitHub Directory

Starrocks Official MCP Server

The official MCP server for StarRocks (high-performance analytical database). It acts as a bridge allowing AI assistants to perform direct SQL execution and database exploration within StarRocks. This simplifies data analysis and querying on the StarRocks platform via conversational interfaces.

Project Page/Repository: Starrocks MCP Server GitHub Repository

Timeplus MCP Server

An MCP server specifically for interacting with Timeplus (likely a streaming data or time-series platform). This allows AI assistants to query and potentially manage real-time data streams or time-series data stored within the Timeplus system. It enables conversational access to streaming analytics.

Project Page/Repository: Timeplus MCP Server GitHub Repository

Tinybird MCP server

This MCP server allows interaction with a Tinybird Workspace (real-time data platform) from any MCP client. It enables querying and potentially managing data pipes and endpoints within Tinybird using AI assistants. This facilitates real-time data analysis and interaction through conversational commands.

Project Page/Repository: Tinybird MCP Server GitHub Repository

Vectorize MCP Server

An MCP server implementation integrating with Vectorize.io for advanced vector retrieval and text extraction. This likely allows AI assistants to leverage Vectorize’s capabilities for semantic search, document processing, and potentially RAG. It provides a standardized interface to Vectorize’s AI-focused data tools.

Project Page/Repository: Vectorize MCP Server GitHub Repository

Developer Tools & DevOps

This category features MCP servers designed to streamline the software development lifecycle. It includes tools for code management (Git, GitHub, GitLab), CI/CD (CircleCI, GitHub Actions), project tracking (Jira, Linear, Asana, Plane), testing (JMeter, k6, Locust, Postman/Newman), code analysis (Semgrep, SonarQube), API management and interaction (OpenAPI, GraphQL, Postman), IDE integration (JetBrains, Neovim), and infrastructure management (Terraform, Pulumi, Kubernetes).

AI Agent Marketplace Index Search MCP Server

Provided by AI-Agent-Hub, this server allows searching their index of AI agents, functions, tools, or use cases by keywords or category. Developers can use this to discover existing agents for specific tasks like “AI coding agents” or “Desktop Use Agent”. It acts as a discovery mechanism within the broader AI agent ecosystem.

Project Page/Repository: AI Agent Marketplace Index MCP GitHub Repository

APIMatic Validator MCP Server

This server, provided by APIMatic, validates OpenAPI specifications using APIMatic’s API. It processes OpenAPI files submitted via MCP clients and returns validation summaries. This aids developers in ensuring their API specifications are correct and conformant during the development process.

Project Page/Repository: APIMatic Validator MCP GitHub Repository

APISIX MCP Server

Developed by API7, this server bridges LLMs with the Apache APISIX Admin API. It enables natural language interaction for viewing and managing resources within the APISIX API gateway. This allows developers and administrators to configure routes, services, and plugins conversationally.

Project Page/Repository: APISIX MCP Server GitHub Repository

Asana MCP Server

This community server implements MCP for interacting with Asana project management. It allows AI assistants to potentially list projects, tasks, create new tasks, or update task statuses within Asana. This brings conversational AI capabilities to Asana workflows.

Project Page/Repository: Asana MCP Server GitHub Repository

AWS CDK MCP Server

An official AWS server integrating with the AWS Cloud Development Kit (CDK). It allows AI assistants to interact with CDK applications, potentially aiding in synthesizing stacks, deploying infrastructure, or listing CDK-defined resources. This facilitates Infrastructure as Code workflows via conversational interfaces.

Project Page/Repository: AWS CDK MCP Server Documentation

AWS Terraform MCP Server

An official AWS tool providing MCP access for managing AWS infrastructure defined using HashiCorp Terraform. AI assistants can use this server to plan, apply, or destroy Terraform configurations. It includes Checkov integration for security analysis of the Terraform code.

Project Page/Repository: AWS Terraform MCP Server Documentation

Azure CLI MCP Server

A community MCP Server that wraps the Azure Command-Line Interface (CLI). It allows managing Azure resources using familiar `az` commands through a conversational AI interface. It includes specific prompt enhancements for better usability.

Project Page/Repository: Azure CLI MCP GitHub Repository

Azure DevOps MCP Server (Community – Tiberriver256)

A community MCP server implementation for Azure DevOps. It allows AI assistants to interact with Azure DevOps APIs, potentially managing work items, builds, and releases. It provides a standardized way to access Azure DevOps services conversationally.

Project Page/Repository: Azure DevOps MCP Server GitHub Repository (Tiberriver256)

Azure DevOps MCP Server (Community – Vortiago)

Another community MCP server enabling AI assistants to interact with Azure DevOps services. This implementation focuses on providing conversational control over various Azure DevOps functionalities. It aims to streamline development and operations workflows managed within Azure DevOps.

Project Page/Repository: Azure DevOps MCP Server GitHub Repository (Vortiago)

Bruno MCP Server

This MCP server enables the execution of Bruno API test collections. It allows LLMs to trigger API tests defined in Bruno and receive detailed results via the MCP interface. This facilitates automated API testing within AI-driven development workflows.

Project Page/Repository: Bruno MCP Server GitHub Repository

Bugsnag MCP Server

Developed by tgeselle, this server allows interaction with the Bugsnag error monitoring and reporting platform. It enables LLM tools like Cursor and Claude to investigate and potentially resolve issues tracked within Bugsnag. This bridges conversational AI with application stability monitoring.

Project Page/Repository: Bugsnag MCP Server GitHub Repository

CircleCI MCP Server

The official MCP Server for CircleCI provided by CircleCI-Public. It allows AI assistants to interact with the CircleCI platform, likely enabling management of CI/CD pipelines, builds, and related configurations. This brings conversational control to CircleCI workflows.

Project Page/Repository: CircleCI MCP Server GitHub Repository

Clojars MCP Server

Provided by Bigsy, this server offers tools for fetching dependency information from Clojars, the Clojure community’s artifact repository. AI assistants can use this to check versions, find libraries, or manage dependencies for Clojure projects. It’s designed for clients like Cline, Roo Code, Cody, and Claude Desktop.

Project Page/Repository: Clojars MCP Server GitHub Repository

Confluence MCP Server (KS-GEN-AI)

A community server designed to interact with Atlassian Confluence. It likely allows AI assistants to search, read, or potentially create/update Confluence pages via MCP. This facilitates knowledge management tasks within Confluence through conversational AI.

Project Page/Repository: Confluence MCP Server GitHub Repository (KS-GEN-AI)

Datadog MCP Server

This server allows interaction with the Datadog monitoring and observability platform API. AI assistants can leverage this to query metrics, logs, traces, or manage monitors within Datadog. It enables conversational access to application performance and infrastructure health data.

Project Page/Repository: Datadog MCP Server GitHub Repository

DevRev MCP server

An MCP server for DevRev, the developer CRM platform. It enables searching and retrieving information using DevRev APIs via MCP. This could allow AI assistants to query customer issues, product feedback, or development work items stored in DevRev.

Project Page/Repository: DevRev MCP Server GitHub Repository

Fastn Server

The Fastn server is a platform enabling dynamic tool registration and execution based on API definitions. It integrates with clients like Claude and Cursor, offering a unified solution for various API-driven operations via MCP. It emphasizes performance and flexibility for real-time tasks.

Project Page/Repository: Fastn Server GitHub Repository

Git MCP server (Reference)

A reference MCP server implementation from the `modelcontextprotocol` repository for interacting with local Git repositories. It likely provides basic Git operations like status checks, diffing, or log viewing via MCP commands. This serves as a foundational example for Git integration.

Project Page/Repository: Git MCP Server (Reference) GitHub Directory

GitLab MCP Server

A reference MCP server from the `modelcontextprotocol` repository for interacting with the GitLab API. It enables functionalities like project management, file operations, issue tracking, and merge request handling within GitLab. This provides a standardized way to integrate GitLab workflows with AI assistants.

Project Page/Repository: GitLab MCP Server (Reference) GitHub Directory

GitLab MR MCP

Developed by kopfrechner, this MCP server specifically focuses on interacting with GitLab merge requests and issues. It allows AI assistants to query details, potentially update statuses, or comment on MRs and issues. This provides targeted GitLab interaction for code review and issue tracking workflows.

Project Page/Repository: GitLab MR MCP GitHub Repository

GitHub Actions MCP Server

This server enables AI assistants to manage and operate GitHub Actions workflows via the GitHub Actions API. Users could potentially trigger workflows, check run statuses, or retrieve logs conversationally. It brings MCP control to CI/CD processes hosted on GitHub.

Project Page/Repository: GitHub Actions MCP Server GitHub Repository

GitHub Enterprise MCP Server

An MCP server designed specifically for integration with the GitHub Enterprise API. It provides an interface to access repository information, issues, pull requests, and other data hosted on a GitHub Enterprise instance. This enables conversational interaction with self-hosted or cloud-based GitHub Enterprise environments.

Project Page/Repository: GitHub Enterprise MCP Server GitHub Repository

GitHub MCP Server (Official Reference)

The official reference MCP server for GitHub from the `modelcontextprotocol` repository. It allows interaction with GitHub repositories using MCP, likely covering core functionalities like reading files, checking issues, or managing pull requests. It serves as a primary example for GitHub integration.

Project Page/Repository: GitHub MCP Server (Reference) GitHub Directory

GitHub MCP Server (Community – github)

A separate community (?) MCP server listed under the ‘github’ provider in Metorial. Its specific functionalities might differ from the official reference server. It aims to allow interaction with GitHub repositories via MCP.

Project Page/Repository: GitHub MCP Server GitHub Repository

GitMCP

Developed by idosal, GitMCP is described as a free, open-source, *remote* MCP server for *any* GitHub project. This suggests it might offer a way to interact with public GitHub repositories without needing local setup, potentially by acting as a proxy or using public APIs. It aims to reduce LLM hallucinations by providing direct repository context.

Project Page/Repository: GitMCP GitHub Repository

GraphQL Schema MCP Server

This server exposes GraphQL schema information to LLMs like Claude. It provides specialized tools allowing an AI assistant to explore and understand the structure, types, queries, and mutations defined within a GraphQL schema. This aids in generating correct GraphQL queries or understanding API capabilities.

Project Page/Repository: GraphQL Schema MCP Server GitHub Repository

HubSpot MCP Server

Provided by buryhuang, this MCP server implementation integrates with the HubSpot CRM. It enables AI models to interact with HubSpot data and perform operations like querying contacts, deals, or companies through a standardized MCP interface. This brings conversational AI to sales and marketing workflows managed in HubSpot.

Project Page/Repository: HubSpot MCP Server GitHub Repository

IDA Pro MCP

A simple MCP Server allowing “vibe reversing” (AI-assisted reverse engineering) within the IDA Pro disassembler and debugger. It bridges MCP clients to IDA Pro, likely enabling AI assistants to query disassembly, analyze functions, or assist in the reverse engineering process. Developed by mrexodia, known for x64dbg.

Project Page/Repository: IDA Pro MCP GitHub Repository

JetBrains MCP Proxy Server

The official MCP server from JetBrains acts as a proxy between an MCP client and a running JetBrains IDE (like IntelliJ IDEA, PyCharm, etc.). This allows AI assistants to interact with the IDE’s functionalities, potentially including code navigation, refactoring, debugging, or accessing project information. It enables deeper integration of AI into the JetBrains development environment.

Project Link 1: JetBrains MCP Proxy Server GitHub Repository 1
Project Link 2: JetBrains MCP Proxy Server GitHub Repository 2

Jira communication server MCP Server (KS-GEN-AI)

A community server focused on interacting with Atlassian Jira. It allows AI assistants to communicate with Jira, potentially for creating issues, updating tickets, searching for items, or retrieving project status via MCP. It facilitates conversational project management within Jira.

Project Page/Repository: Jira MCP Server GitHub Repository (KS-GEN-AI)

Jira MCP (nguyenvanduocit)

A Go-based MCP connector for Jira developed by nguyenvanduocit. It enables AI assistants like Claude to interact with Atlassian Jira, providing a seamless interface for performing common Jira operations like issue creation, updates, and searches. Offers an alternative implementation language (Go).

Project Page/Repository: Jira MCP GitHub Repository (nguyenvanduocit)

JMeter MCP Server

Developed by QAInsights, this MCP server allows executing Apache JMeter performance tests through MCP-compatible clients. AI assistants can use this to trigger load tests, potentially configure test parameters, and maybe retrieve results. It integrates performance testing into AI-driven workflows.

Project Page/Repository: JMeter MCP Server GitHub Repository

k6-mcp-server

Also from QAInsights, this is an MCP server implementation for running k6 load tests. It enables integrating k6 performance testing capabilities (script execution, result retrieval) into AI-powered development environments via MCP. It provides conversational control over k6 testing.

Project Page/Repository: k6 MCP Server GitHub Repository

Langfuse Prompt Management MCP Server

The official server from Langfuse, allowing access and management of prompts stored within the Langfuse observability platform. AI assistants can use this to retrieve, update, or potentially version control prompts used in LLM applications via MCP. It connects prompt engineering workflows to conversational AI.

Project Page/Repository: Langfuse MCP Server GitHub Repository

Linear MCP Server (jerhadf)

A community MCP server for the Linear project management tool’s API. It allows AI assistants to interact with Linear, potentially managing issues, projects, cycles, or teams via its GraphQL API. This brings conversational control to workflows managed in Linear.

Project Page/Repository: Linear MCP Server GitHub Repository (jerhadf)

MCP Linear (tacticlaunch)

Another MCP server implementation for the Linear GraphQL API, also enabling interaction with Linear project management systems. Developed by tacticlaunch, it provides an alternative way for AI assistants to manage Linear issues and projects. It likely covers similar functionalities as the other Linear server.

Project Page/Repository: MCP Linear GitHub Repository (tacticlaunch)

locust-mcp-server

The third performance testing MCP server from QAInsights, this one integrates with Locust. It enables running Locust load tests via MCP, facilitating the integration of Locust’s Python-based testing capabilities into AI development environments. Allows conversational triggering and management of Locust tests.

Project Page/Repository: Locust MCP Server GitHub Repository

Logfire MCP Server

Provided by Pydantic, this MCP server integrates with Logfire, Pydantic’s observability tool. It contains tools to access OpenTelemetry traces and likely other observability data managed by Logfire. This enables AI assistants to query application performance and debugging information conversationally.

Project Page/Repository: Logfire MCP Server GitHub Repository

Lucidity MCP

Developed by hyperb1iss, this server provides AI-powered code quality analysis using MCP. It helps AI assistants review code more effectively by analyzing git changes for complexity, security vulnerabilities, and other metrics using structured prompts. It aims to enhance AI-assisted code reviews.

Project Page/Repository: Lucidity MCP GitHub Repository

Make MCP Server

This server allows AI assistants to utilize Make (formerly Integromat) automation scenarios as tools via MCP. It enables triggering and interacting with Make’s visual workflow automation platform through conversational commands. This bridges complex business process automations with AI interfaces.

Project Page/Repository: Make MCP Server GitHub Repository

MCP Atlassian

Provided by sooperset, this MCP server integrates with Atlassian products, specifically Confluence and Jira. It supports both Cloud and Server/Data Center deployments, allowing AI assistants to interact with issues, pages, and other entities within the Atlassian suite. It offers a unified MCP interface for common Atlassian tasks.

Project Page/Repository: MCP Atlassian GitHub Repository

mcp-graphql

Developed by blurrah, this MCP server enables LLMs to interact with GraphQL APIs. It provides capabilities for schema introspection (understanding the API structure) and query execution. This allows AI models to dynamically discover and use GraphQL APIs.

Project Page/Repository: mcp-graphql GitHub Repository

MCP-OpenAPI

Developed by ReAPI-com, this server loads and serves multiple OpenAPI specifications via MCP. It acts as a bridge between OpenAPI specs and LLM-powered IDE integrations (like Cursor). This allows AI assistants to understand and interact with APIs documented using OpenAPI.

Project Page/Repository: @reapi/mcp-openapi GitHub Repository

MCP Server for SQL Analyzer

Created by j4c0bs, this MCP server provides SQL analysis, linting, and dialect conversion capabilities using the SQLGlot library. AI assistants can use this tool to check SQL syntax, format queries, or translate SQL between different database dialects (e.g., PostgreSQL to MySQL). It aids in working with SQL code across various platforms.

Project Page/Repository: SQL Analyzer MCP Server GitHub Repository

MCP-Typescribe

Provided by yWorks, this MCP server implementation enables LLMs to work with new APIs and frameworks by providing them with relevant API information. It likely helps AI assistants understand how to use unfamiliar libraries or SDKs by exposing type definitions or documentation snippets via MCP. This aids in code generation and API usage tasks.

Project Page/Repository: MCP-Typescribe GitHub Repository

Neovim MCP Server

A proof-of-concept integration by bigcodegen connecting MCP clients (like Claude Desktop) to a running Neovim instance. It leverages Neovim’s native commands and the `neovim/node-client` library. This allows AI assistants to perform text editing and potentially other Neovim actions via MCP.

Project Page/Repository: Neovim MCP Server GitHub Repository

OpenAPI Schema MCP Server

Developed by hannesj, this server exposes OpenAPI schema information to LLMs like Claude. It provides specialized tools allowing an AI assistant to explore and understand OpenAPI specifications (paths, operations, parameters, schemas). This helps AI generate correct API calls or understand API functionalities.

Project Page/Repository: OpenAPI Schema MCP Server GitHub Repository

OpenRPC MCP Server

This server provides JSON-RPC functionality through the OpenRPC specification standard via MCP. It allows AI assistants to discover and call JSON-RPC methods described in an OpenRPC document. Developed by shanejonas.

Project Page/Repository: OpenRPC MCP Server GitHub Repository

Package Version MCP Server

Created by sammcj, this MCP server provides tools for checking the latest stable versions of packages from multiple package registries (like npm, PyPI, etc.). AI assistants can use this to ensure they are referencing up-to-date dependencies or to check for available updates. It simplifies dependency management via conversational AI.

Project Page/Repository: Package Version MCP Server GitHub Repository

Plane MCP Server

This MCP server enables LLMs to interact with Plane.so, an open-source project management tool. It allows AI assistants to manage projects and issues via Plane’s API. Users can leverage clients like Claude to interact with their Plane workflows conversationally.

Project Page/Repository: Plane MCP Server GitHub Repository

Playwright MCP (Microsoft Community)

A community-developed MCP server providing browser automation via Playwright. It enables LLMs to interact with web pages using structured accessibility snapshots rather than visual analysis. This allows for tasks like filling forms, clicking elements, and extracting structured data from websites.

Project Page/Repository: Playwright MCP GitHub Repository (Microsoft)

Playwright MCP Server (ExecuteAutomation)

Another Playwright-based MCP server, this one from ExecuteAutomation. It enables LLMs to interact with web pages, take screenshots, *generate test code*, scrape pages, and execute JavaScript in a real browser. It has a specific focus on testing and automation code generation.

Project Page/Repository: Playwright MCP Server GitHub Repository (ExecuteAutomation)

Postman MCP Server (delano)

An MCP server that provides access to Postman functionalities. This likely allows AI assistants to interact with Postman collections, run requests, or potentially manage environments stored in Postman. Developed by delano.

Project Page/Repository: Postman MCP Server GitHub Repository (delano)

Postman MCP Server (shannonlal)

This MCP server enables running Postman collections using Newman (Postman’s command-line runner). It allows LLMs to execute API tests defined in Postman collections and receive detailed results via MCP. Focuses specifically on test execution via Newman.

Project Page/Repository: Postman MCP Server GitHub Repository (shannonlal)

Postmancer

Developed by hijaz, Postmancer is described as a *standalone* MCP server for API testing and management. It allows AI assistants to interact with RESTful APIs using natural language, potentially including features like crafting requests, sending them, and analyzing responses, similar to the Postman application itself but accessed via MCP.

Project Page/Repository: Postmancer GitHub Repository

Productboard MCP Server

Integrates the Productboard product management platform API into agentic workflows via MCP. This allows AI assistants to potentially query product feedback, features, roadmaps, or customer insights stored within Productboard. Developed by kenjihikmatullah.

Project Page/Repository: Productboard MCP Server GitHub Repository

Pulumi MCP Server

An MCP server that provides access to Pulumi, an Infrastructure as Code platform. This allows AI assistants to potentially preview, update, or destroy infrastructure managed by Pulumi across various cloud providers. Developed by dogukanakkaya.

Project Page/Repository: Pulumi MCP Server GitHub Repository

Repomix

Developed by yamadashy, Repomix packs codebases into AI-friendly formats. While primarily a tool, its MCP integration likely allows AI assistants to trigger this packing process or access the structured codebase information generated by Repomix. This aids AI in understanding large codebases.

Project Page/Repository: Repomix GitHub Repository

Rootly MCP Server

An MCP server for the Rootly incident management platform API. It enables AI assistants used in editors like Cursor, Windsurf, and Claude to interact with Rootly, potentially for creating incidents, adding notes, or querying incident status. Aims to streamline incident response directly from the IDE.

Project Page/Repository: Rootly MCP Server GitHub Repository

Security Audit Tool (npm)

Provided by qianniuspace, this MCP server audits npm package dependencies for security vulnerabilities. It uses remote npm registry integration for real-time security checks, allowing AI assistants to assess the security posture of Node.js projects.

Project Page/Repository: Security Audit Tool GitHub Repository

Semgrep MCP Server

The official MCP server from Semgrep allows using their static analysis tool to scan code for security vulnerabilities via MCP. AI assistants can trigger Semgrep scans on code snippets or files and receive results, integrating security analysis into conversational coding workflows.

Project Page/Repository: Semgrep MCP Server GitHub Repository

Sentry MCP server (Reference)

A reference implementation from `modelcontextprotocol` for interacting with the Sentry error tracking platform via MCP. This likely allows AI assistants to query error details, issue statuses, or potentially manage Sentry projects. It serves as a base example for Sentry integration.

Project Page/Repository: Sentry MCP Server (Reference) GitHub Directory

SonarQube MCP Server

Developed by sapientpants, this MCP server integrates with SonarQube, a code quality and security platform. It provides AI assistants with access to code quality metrics, detected issues, code smells, and analysis results from SonarQube scans. This allows for conversational queries about code health.

Project Page/Repository: SonarQube MCP Server GitHub Repository

tfmcp: Terraform MCP Tool

An experimental CLI tool and MCP server from nwiizo that enables AI assistants to manage and operate Terraform environments. Similar to the AWS Terraform server but potentially cloud-agnostic, it allows conversational control over infrastructure defined and managed by Terraform.

Project Page/Repository: tfmcp GitHub Repository

Trieve MCP Server

An MCP server providing agentic tools for interacting with the Trieve search API. This enables AI agents to search and interact with Trieve datasets (likely for RAG or semantic search applications) through a standardized MCP interface. Developed by devflowinc.

Project Page/Repository: Trieve MCP Server GitHub Directory

Unstructured API MCP Server

Provided by Unstructured-IO, this MCP server interacts with the Unstructured API. It includes tools to list data sources and processing workflows available in the Unstructured platform, which focuses on extracting and transforming unstructured data for LLMs.

Project Page/Repository: Unstructured API MCP Server GitHub Repository

YepCode MCP Server

An MCP server enabling AI platforms to interact with the YepCode serverless automation platform. It allows running LLM-generated scripts within YepCode and turning existing YepCode processes into callable tools for AI assistants via MCP. This bridges AI capabilities with serverless backend execution.

Project Page/Repository: YepCode MCP Server GitHub Repository

Web Interaction & Search

This section covers MCP servers specifically designed for interacting with the World Wide Web, including general web browsing, scraping website content, interacting with browser automation tools, and utilizing dedicated web search engine APIs.

Apify MCP Server

This official server from Apify provides an MCP interface to *all* Apify Actors available on their store. Apify Actors are serverless cloud programs for web scraping and automation. This integration allows AI assistants to trigger any available Actor, enabling a vast range of automated web tasks like data extraction, monitoring, and content aggregation.

Project Page/Repository: Apify MCP Server GitHub Repository

Baidu AI Search

Provided by Baidu, this component combines Baidu’s search capabilities with LLM technology via MCP. It allows AI assistants to get intelligent responses augmented with real-time web information and references from Baidu’s search index. It supports various industry application scenarios requiring current web context.

Project Page/Repository: Baidu AI Search GitHub Directory

Bing Search MCP Server

This community server integrates with the Microsoft Bing Search API. It allows AI assistants to perform web searches, news searches, and image searches using Bing’s index via MCP. This provides an alternative search backend for AI applications needing web context.

Project Page/Repository: Bing Search MCP Server GitHub Repository

Brave Search MCP Server

A reference implementation from the `modelcontextprotocol` repository integrating the Brave Search API. It provides both web search and potentially local search capabilities (if Brave’s features allow). This offers a privacy-focused search option accessible via the MCP standard.

Project Page/Repository: Brave Search MCP Server (Reference) GitHub Directory

Browserbase MCP Server

This server utilizes the Browserbase service (along with Puppeteer and Stagehand) for cloud browser automation. It enables LLMs to interact with web pages by rendering them in a real cloud browser, allowing actions like taking screenshots, executing JavaScript, and navigating complex sites. This approach handles dynamic content and complex interactions robustly.

Project Page/Repository: Browserbase MCP Server GitHub Repository

browser-use-mcp-server

Developed by co-browser, this MCP server enables AI agents to control web browsers using the `browser-use` library. `browser-use` likely provides a specific set of commands or abstractions for browser automation tasks. This server acts as the MCP bridge to that library’s functionality.

Project Page/Repository: browser-use-mcp-server GitHub Repository

DuckDuckGo Search MCP Server

A community-developed MCP server specifically for using the DuckDuckGo search engine. It allows AI assistants to perform web searches leveraging DuckDuckGo’s privacy-focused results. This provides another option for integrating search capabilities into AI agents.

Project Page/Repository: DuckDuckGo Search MCP Server GitHub Repository

Exa MCP Server

The official MCP server from Exa Labs allows AI assistants like Claude to use the Exa AI Search API. Exa is designed as a search engine specifically for AI applications. This integration enables AI models to get real-time, potentially AI-optimized, web information in a controlled manner.

Project Page/Repository: Exa MCP Server GitHub Repository

Fetcher MCP

Developed by jae-jae, this MCP server fetches web page content using the Playwright headless browser automation tool. This approach helps retrieve content accurately, especially from pages heavy on JavaScript or dynamic rendering. It acts as a robust web content retrieval tool for AI assistants.

Project Page/Repository: Fetcher MCP GitHub Repository

Fetch MCP Server (Reference)

A reference implementation from `modelcontextprotocol` providing web content fetching capabilities. It enables LLMs to retrieve content from web pages and converts the HTML into Markdown format, which is often easier for models to process and understand. This serves as a basic example of web content retrieval and formatting.

Project Page/Repository: Fetch MCP Server (Reference) GitHub Directory

Firecrawl MCP Server (mendableai)

An MCP server implementation integrating with Firecrawl (from Mendable AI) for web scraping capabilities. Firecrawl likely offers features tailored for crawling and extracting structured data from websites. This server exposes those capabilities via MCP.

Project Page/Repository: Firecrawl MCP Server GitHub Repository (mendableai)

Firecrawl MCP Server (vrknetha)

Another community implementation of an MCP server integrating with Firecrawl for web scraping. This provides an alternative server for leveraging Firecrawl’s features within MCP-compatible applications. Its specific toolset might differ slightly from the mendableai version.

Project Page/Repository: Firecrawl MCP Server GitHub Repository (vrknetha)

Google Search MCP Server (adenot)

This community server provides web search capabilities using the Google Custom Search API. It also includes functionality for extracting webpage content. This allows AI assistants to both find relevant web pages via Google and retrieve their content for analysis.

Project Page/Repository: Google Search MCP Server GitHub Repository (adenot)

G-Search MCP

Developed by jae-jae, this MCP server for Google Search focuses on enabling *parallel* searching with multiple keywords simultaneously. This could potentially speed up information gathering for AI agents needing results for several related queries. It offers a performance-oriented approach to Google search via MCP.

Project Page/Repository: G-Search MCP GitHub Repository

Hyperbrowser MCP Server

Provided by hyperbrowserai, this server offers various tools for web interaction via MCP. Capabilities include scraping, extracting structured data, and crawling webpages. It also provides easy access to general-purpose browser agents like OpenAI’s CUA (Computer User Assistant), Anthropic’s Claude Computer Use, and Browser Use agents.

Project Page/Repository: Hyperbrowser MCP Server GitHub Repository

Kagi MCP server

The official MCP server from Kagi Search. It provides access to Kagi’s premium web search capabilities and potentially other Kagi tools (like summarization or document interaction) via MCP. This allows AI assistants to leverage Kagi’s ad-free, user-customizable search results.

Project Page/Repository: Kagi MCP Server GitHub Repository

mcp-rquest

Developed by xxxbrian, this server offers advanced HTTP request capabilities built on the `rquest` library. It enables realistic browser emulation with accurate TLS/JA3/JA4 fingerprints, helping to bypass common anti-bot measures when interacting with websites. It also supports converting PDF and HTML to Markdown for easier LLM processing.

Project Page/Repository: mcp-rquest GitHub Repository

Oxylabs MCP Server

The official MCP server from Oxylabs provides a bridge between AI models and the web, leveraging Oxylabs’ proxy and data gathering infrastructure. It enables scraping URLs, rendering JavaScript, extracting/formatting content, bypassing anti-scraping measures, and accessing geo-restricted web data from 195+ countries. It offers robust, large-scale web data access.

Project Page/Repository: Oxylabs MCP Server GitHub Repository

Perplexity MCP Server

Developed by tanigami, this MCP Server interacts with the Perplexity AI search API. It allows AI assistants to leverage Perplexity’s conversational search engine capabilities, which often provide summarized answers with citations. This integrates Perplexity’s specific search and answer synthesis features into MCP clients.

Project Page/Repository: Perplexity MCP Server GitHub Repository

Playwright MCP (Microsoft Community)

A community-developed MCP server from Microsoft providing browser automation via Playwright. It enables LLMs to interact with web pages using structured accessibility snapshots, allowing actions like filling forms and clicking elements based on accessibility information rather than visual rendering. This can be more reliable for certain automation tasks.

Project Page/Repository: Playwright MCP GitHub Repository (Microsoft)

Playwright MCP Server (Automata-Labs-team)

Another MCP Server for interacting with browsers using Playwright, developed by Automata-Labs-team. This provides an alternative implementation for leveraging Playwright’s powerful browser automation features within an MCP context. Specific features might differ from other Playwright servers.

Project Page/Repository: MCP Server Playwright GitHub Repository (Automata-Labs-team)

Puppeteer MCP Server (Reference)

A reference implementation from `modelcontextprotocol` providing browser automation capabilities using Puppeteer (a popular Node.js library for controlling Chrome/Chromium). It enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment via MCP. Serves as a basic example for Puppeteer integration.

Project Page/Repository: Puppeteer MCP Server (Reference) GitHub Directory

Scrapling Fetch MCP

Developed by cyberchitta, this MCP server focuses on helping AI assistants access text content from websites that implement bot detection measures. It acts as a bridge to overcome access limitations that standard fetch requests might encounter. It aims to align the AI’s view of a page more closely with what a user sees in their browser.

Project Page/Repository: Scrapling Fetch MCP GitHub Repository

SearXNG MCP Server (ihor-sokoliuk)

An MCP server implementation integrating the SearxNG metasearch engine API. SearxNG aggregates results from multiple search engines while respecting user privacy. This server provides web search capabilities using SearxNG as the backend via MCP.

Project Page/Repository: SearXNG MCP Server GitHub Repository (ihor-sokoliuk)

MCP-searxng (SecretiveShell)

Another MCP server for connecting agentic systems to search via searXNG. Developed by SecretiveShell, this provides an alternative implementation for leveraging the privacy-respecting metasearch engine through MCP. Functionality is likely similar to the other SearXNG server.

Project Page/Repository: MCP-searxng GitHub Repository (SecretiveShell)

Tavily MCP Server (tavily-ai)

The official MCP server for the Tavily search API. Tavily is a search engine specifically optimized for LLMs and AI agents, aiming to provide concise, accurate, and relevant search results. This integration allows AI assistants to leverage Tavily’s specialized search capabilities.

Project Page/Repository: Tavily MCP Server GitHub Repository (tavily-ai)

MCP Tavily (kshern)

A community implementation of an MCP server for the Tavily API. It provides advanced search and content extraction capabilities using Tavily as the backend. Offers an alternative implementation for integrating Tavily’s AI-focused search features.

Project Page/Repository: MCP Tavily GitHub Repository (kshern)

tavily-search MCP server (Tomatio13)

A third implementation focused on using the Tavily API to perform searches based on specified queries via MCP. This provides yet another option for developers wanting to integrate Tavily search into their MCP-enabled applications.

Project Page/Repository: tavily-search MCP server GitHub Repository (Tomatio13)

Web Search MCP Server (pskill9)

Developed by pskill9, this MCP server enables free web searching using Google search results *without* requiring API keys. It likely achieves this through scraping or using public search interfaces. This offers a cost-free way to add basic Google search capabilities to AI agents via MCP.

Project Page/Repository: Web Search MCP Server GitHub Repository (pskill9)

Website Downloader MCP Server

Also from pskill9, this MCP server provides a tool to download entire websites using the `wget` command-line utility. It preserves the website’s structure and converts links for local offline viewing. AI assistants can use this to archive or analyze complete websites.

Project Page/Repository: Website Downloader MCP Server GitHub Repository

Content Management & Productivity

This section includes MCP servers that interact with tools for personal knowledge management, document creation and handling, task management, scheduling, and general productivity applications like spreadsheets and note-taking apps.

Airtable MCP Server (domdomegg)

This server provides both read and write access to Airtable databases via MCP. It enables LLMs to inspect the schema of bases and tables, and then read, write, update, or delete records. This allows for comprehensive interaction with Airtable data through conversational commands.

Project Page/Repository: Airtable MCP Server GitHub Repository (domdomegg)

Airtable MCP Server (felores)

Another community implementation providing MCP tools for interacting with Airtable’s API. This server enables programmatic management of Airtable bases, tables, fields, and records via clients like Claude Desktop. It offers an alternative for integrating Airtable workflows with AI.

Project Page/Repository: Airtable MCP Server GitHub Repository (felores)

Anki MCP Server

Developed by scorzeth, this MCP server connects to a locally running instance of Anki, the popular spaced repetition flashcard software. It provides tools for card review (likely retrieving cards due for review) and potentially creating new flashcards via MCP. This integrates study and knowledge reinforcement workflows with AI assistants.

Project Page/Repository: Anki MCP Server GitHub Repository

Bear MCP Server (akseyh)

This MCP server provides access to notes stored in the Bear Notes application (macOS/iOS). It allows AI assistants to read content from Bear notes, enabling integration of personal notes into AI workflows. Developed by akseyh.

Project Page/Repository: Bear MCP Server GitHub Repository (akseyh)

Bear MCP Server (bart6114)

An alternative implementation by bart6114, this server also allows AI assistants like Claude to read notes from the Bear app. It connects directly to the Bear SQLite database in read-only mode, ensuring note safety. This provides another option for accessing Bear note content via MCP.

Project Page/Repository: Bear MCP Server GitHub Repository (bart6114)

Bitable MCP Server

Developed by lloydzhou, this MCP server provides access to Lark Bitable (a collaborative spreadsheet/database tool, popular in some regions). It allows users to interact with Bitable tables using predefined MCP tools. This enables management of Bitable data through AI assistants.

Project Page/Repository: Bitable MCP Server GitHub Repository

Confluence MCP Server (KS-GEN-AI)

A community server allowing interaction with Atlassian Confluence via MCP. It likely enables AI assistants to search for pages, read content, and potentially create or update pages within a Confluence space. This facilitates conversational knowledge base management.

Project Page/Repository: Confluence MCP Server GitHub Repository (KS-GEN-AI)

Contentful MCP Server

Developed by ivo-toby, this server integrates with Contentful’s Content Management API via MCP. It provides comprehensive content management capabilities, allowing AI assistants to query, create, update, or delete content entries and assets within Contentful. This streamlines content operations through conversational commands.

Project Page/Repository: Contentful MCP Server GitHub Repository

DevHub CMS MCP

An MCP integration specifically for managing content within the DevHub CMS system. It allows AI assistants to interact with DevHub, potentially for creating, updating, or querying website content managed by the platform. Provided by the DevHub team.

Project Page/Repository: DevHub CMS MCP GitHub Repository

Excel MCP Server

This server allows AI agents to manipulate Microsoft Excel files (`.xlsx`) *without* needing Excel installed locally. It enables creating new workbooks, reading data from existing sheets, and modifying content programmatically via MCP. Developed by haris-musa.

Project Page/Repository: Excel MCP Server GitHub Repository

Google Calendar MCP Server (nspady)

An MCP server providing integration with Google Calendar. It allows LLMs to read calendar events, create new events/meetings, update existing ones, and search for events or free time slots. Developed by nspady.

Project Page/Repository: Google Calendar MCP Server GitHub Repository (nspady)

Google Calendar MCP Server (takumi0706)

Another community implementation for integrating Google Calendar with Claude Desktop via MCP. It likely offers similar functionalities for reading and managing calendar events through conversational commands. Developed by takumi0706.

Project Page/Repository: Google Calendar MCP Server GitHub Repository (takumi0706)

Google Calendar MCP Server (v-3)

A third implementation by v-3, this MCP server also allows Claude to interact with Google Calendar. Capabilities include listing events, creating meetings, and finding free time slots. Provides another option for conversational calendar management.

Project Page/Repository: Google Calendar MCP Server GitHub Repository (v-3)

Google Drive server (Reference)

A reference MCP server implementation from `modelcontextprotocol` that integrates with Google Drive. It allows listing files, reading file content (likely for text-based formats), and searching for files within a user’s Google Drive. This serves as a basic example for cloud file storage interaction.

Project Page/Repository: Google Drive MCP Server (Reference) GitHub Directory

Google Sheets MCP server

Developed by xing5, this MCP server integrates with both Google Drive and Google Sheets. It specifically enables AI assistants to create new spreadsheets and modify existing ones programmatically via MCP. This allows for conversational data manipulation within Google Sheets.

Project Page/Repository: Google Sheets MCP Server GitHub Repository

Google Tasks MCP Server (arpitbatra123)

This MCP server provides a bridge between Claude and Google Tasks. It allows users to manage their task lists and individual tasks (create, read, update, delete) directly through conversational interactions with Claude. Developed by arpitbatra123.

Project Page/Repository: Google Tasks MCP Server GitHub Repository (arpitbatra123)

Google Tasks MCP Server (zcaceres)

An alternative implementation by zcaceres, this MCP server also integrates with Google Tasks. It enables listing, reading, searching, creating, updating, and deleting tasks via MCP commands. Offers similar functionality for conversational task management in Google Tasks.

Project Page/Repository: Google Tasks MCP Server GitHub Repository (zcaceres)

HackMD MCP Server

Developed by yuna0x0, this server interacts with the HackMD API (collaborative markdown editor). It allows AI assistants to perform operations like creating new notes, retrieving existing notes, updating content, and potentially managing permissions or teams within HackMD via MCP.

Project Page/Repository: HackMD MCP Server GitHub Repository

Kibela MCP Server (kiwamizamurai)

An MCP server implementation for integrating with the Kibela API (Japanese team collaboration/wiki tool). It enables LLMs to interact with Kibela content, likely allowing searching, reading, and potentially creating or updating articles within the platform. Developed by kiwamizamurai.

Project Page/Repository: Kibela MCP Server GitHub Repository (kiwamizamurai)

mcp-kibela (kj455)

Another MCP server implementation enabling AI assistants to search and reference content within Kibela. Developed by kj455, it allows AI models like Claude to securely access information stored in the Kibela knowledge base. Provides an alternative for Kibela integration.

Project Page/Repository: mcp-kibela GitHub Repository (kj455)

Knowledge Graph Memory Server (Reference)

A basic reference implementation from `modelcontextprotocol` demonstrating persistent memory using a local knowledge graph. This server allows AI assistants like Claude to remember information provided by the user across different chat sessions. It serves as an example of how MCP can be used for stateful memory.

Project Page/Repository: Knowledge Graph Memory Server (Reference) GitHub Directory

Markdownify MCP Server

Developed by zcaceres (with two similar repository entries), Markdownify is an MCP server that converts various file types (PDFs, images, audio) and web content into Markdown format. It provides tools to transform different inputs into easily readable Markdown text, useful for preprocessing data for LLMs.

Project Link 1: Markdownify MCP Server GitHub Repository 1
Project Link 2: Markdownify MCP Server GitHub Repository 2

MCP Server with Mem0 for Managing Coding Preferences

Provided by mem0ai, this server demonstrates using MCP with the Mem0 memory platform specifically for managing user coding preferences. It provides tools for storing, retrieving, and searching preferences, usable with clients like Cursor. It showcases structured memory management via MCP.

Project Page/Repository: Mem0 MCP Server GitHub Repository

Microsoft 365 MCP Server

Developed by softeria, this server likely provides integration with various Microsoft 365 services via MCP. Functionality could include interacting with Outlook Calendar, OneDrive files, SharePoint, or other components of the M365 suite, depending on the specific tools implemented.

Project Page/Repository: Microsoft 365 MCP Server GitHub Repository

Monday.com MCP server

Developed by sakce, this server enables MCP clients to interact with the Monday.com work management platform. It allows AI assistants to manage boards, items (tasks), updates, and potentially documents within Monday.com. This brings conversational AI control to workflows managed in Monday.com.

Project Page/Repository: Monday.com MCP Server GitHub Repository

Notion MCP Server (makenotion)

The official MCP server implementation from Notion for interacting with the Notion API. It allows AI assistants to manage pages, databases, and blocks within a Notion workspace. This provides a robust way to integrate Notion’s knowledge management capabilities with MCP clients.

Project Page/Repository: Notion MCP Server GitHub Repository (makenotion)

Notion MCP Server (suekou)

A community implementation by suekou for interacting with the Notion API via MCP. A key feature mentioned is the use of Markdown conversion to reduce context size when sending Notion content to LLMs, optimizing token usage. It enables conversational interaction with Notion workspaces.

Project Page/Repository: Notion MCP Server GitHub Repository (suekou)

Notion MCP Server (v-3)

Another community implementation by v-3 providing seamless integration with Notion via MCP. It enables interaction with workspaces through standardized tools for searching, reading, creating, and updating pages and databases. Offers an alternative for conversational Notion interaction.

Project Page/Repository: Notion MCP Server GitHub Repository (v-3)

OneNote MCP Server

Developed by rajvirtual, this MCP server provides AI assistants access to Microsoft OneNote. It enables reading from and writing to OneNote notebooks, sections, and pages via MCP commands. This allows conversational interaction with notes stored in OneNote.

Project Page/Repository: OneNote MCP Server GitHub Directory

mcp-pandoc: A Document Conversion MCP Server

Developed by vivekVells and officially included in the MCP servers list, this server uses Pandoc (a universal document converter) to convert between various document formats via MCP. AI assistants can use this tool to handle different file types by converting them to a preferred format like Markdown.

Project Page/Repository: mcp-pandoc GitHub Repository

Personal intelligence framework (PIF)

Developed by hungryrobot1, this is an MCP implementation of the Personal Intelligence Framework (PIF). While the specifics of PIF aren’t detailed, it likely involves managing personal data, knowledge, or tasks in a structured way accessible via MCP.

Project Page/Repository: MCP-PIF GitHub Repository

Raindrop.io MCP Server

An integration by hiromitsusasaki allowing LLMs to interact with Raindrop.io bookmarks via MCP. This likely enables searching, retrieving, adding, or managing bookmarks stored in Raindrop.io through conversational AI assistants.

Project Page/Repository: Raindrop.io MCP Server GitHub Repository

TaskWarrior MCP Server

Developed by awwaiid, this Node.js server implements MCP for interacting with TaskWarrior, a command-line task management tool. It allows AI assistants to add, query, modify, or complete tasks managed by TaskWarrior via conversational commands.

Project Page/Repository: TaskWarrior MCP Server GitHub Repository

Todoist MCP Server

Developed by abhiz123, this MCP server integrates Claude with Todoist for natural language task management. It allows creating, reading, updating, or completing tasks within Todoist using conversational commands via MCP-compatible clients.

Project Page/Repository: Todoist MCP Server GitHub Repository

MCP Zotero

Developed by kaliaboi, this server integrates with Zotero, a reference management software. It allows AI assistants like Claude to interact with a user’s Zotero library, potentially searching for references, retrieving details, or adding new items via MCP.

Project Page/Repository: MCP Zotero GitHub Repository

Communication & Collaboration

This section lists MCP servers designed for interacting with communication platforms like email, chat applications (Slack, Discord, Telegram), and potentially other collaborative tools.

AgentMail MCP Integration

Provided by agentmail-to, this server integrates with the AgentMail service. It allows AI assistants like Claude to dynamically manage email inboxes created via AgentMail, including listing messages, sending new emails, and replying to existing ones. It facilitates orchestrating email tasks through MCP.

Project Page/Repository: AgentMail MCP Integration GitHub Directory

ClaudePost

Developed by ZilongXue, ClaudePost is an MCP server providing a seamless email management interface through Claude. It supports features like searching, reading, and securely sending emails directly via natural language conversations within an MCP client. It aims to integrate email workflows directly into the AI assistant experience.

Project Page/Repository: ClaudePost GitHub Repository

Discord MCP (SaseQ)

A Java-based MCP server implementation using the JDA (Java Discord API) library. Developed by SaseQ, it enables AI assistants to interact with Discord, potentially for reading messages, sending messages to channels, or managing server aspects via MCP commands. It offers a Java alternative for Discord integration.

Project Page/Repository: Discord MCP GitHub Repository (SaseQ)

Discord MCP Server (v-3)

Developed by v-3, this MCP server also enables LLMs to interact with Discord channels via Discord’s API. It allows AI assistants like Claude to send and read messages within specified channels, providing conversational access to Discord communication while maintaining user control.

Project Page/Repository: Discord MCP Server GitHub Repository (v-3)

Inbox Zero MCP Server

Created by elie222, this MCP server is designed to help manage email inboxes efficiently. It integrates with the Inbox Zero personal assistant service, allowing users to interact with their email (potentially sorting, summarizing, or replying) via MCP clients like Cursor, Windsurf, or Claude Desktop.

Project Page/Repository: Inbox Zero MCP Server GitHub Directory

Intercom MCP Server

Developed by raoulbia-ai, this is an MCP-compliant server specifically for retrieving customer support tickets from Intercom. It enables AI assistants like Claude Desktop and Cline to access and analyze support conversation data stored within an Intercom workspace. This facilitates AI-assisted customer support analysis.

Project Page/Repository: Intercom MCP Server GitHub Repository

Mac Messages MCP

A Python bridge by carterlasalle for interacting with the native macOS Messages app using MCP. This allows AI assistants to potentially read incoming iMessages/SMS messages or send messages through the Messages app on a Mac. It connects the local messaging application to the AI assistant.

Project Page/Repository: Mac Messages MCP GitHub Repository

Mattermost MCP Host

Developed by jagan-shanmugam, this is a Mattermost *integration* (acting as an MCP host/client) that connects to external MCP servers. It uses a LangGraph-based AI agent to provide an intelligent interface within Mattermost, allowing users to interact with various MCP tools directly from their chat channels. It bridges Mattermost collaboration with the broader MCP ecosystem.

Project Page/Repository: Mattermost MCP Host GitHub Repository

mcp-server-chatsum

Provided by mcpso, this MCP server is specifically designed to summarize chat messages. While the source of the chat messages isn’t specified (could be local files, APIs like Slack/Discord, etc.), its core function is to take chat logs as input and produce summaries via MCP. This aids in quickly understanding long conversations.

Project Page/Repository: mcp-server-chatsum GitHub Repository

mcp-wecombot-server

Developed by gotoolkits, this MCP server application sends various types of messages (text, markdown, images, etc.) to a WeCom (WeChat Work) group robot. It allows AI assistants or automated processes to push notifications or information into WeCom groups via MCP.

Project Page/Repository: mcp-wecombot-server GitHub Repository

Slack MCP Server (Reference)

An official reference implementation from `modelcontextprotocol` for the Slack API. It enables AI assistants like Claude to interact with Slack workspaces, potentially allowing them to read messages, send messages, manage channels, or query user information via MCP.

Project Page/Repository: Slack MCP Server (Reference) GitHub Directory

Telegram MCP Server

Developed by chigwell using Python and Telethon, this MCP server provides tools for interacting with Telegram chats. It allows MCP-compatible clients like Claude Desktop to potentially read messages from chats, send messages, or manage other Telegram features via the Telethon library.

Project Page/Repository: Telegram MCP Server GitHub Repository

Finance & Cryptocurrency

This section focuses on MCP servers built for interacting with financial data providers, cryptocurrency exchanges, blockchain networks, billing systems, accounting software, and investment platforms.

Attio MCP Server

Provided by hmk, this is an MCP server for Attio, described as an AI-native CRM. It allows MCP clients like Claude to connect to the Attio API, likely enabling interaction with customer relationship data, deal pipelines, or contact information stored within the CRM. This bridges conversational AI with CRM workflows.

Project Page/Repository: Attio MCP Server GitHub Repository

Bankless Onchain MCP Server

Developed by the Bankless community, this MCP server facilitates blockchain data interaction through the Bankless API. It likely allows AI assistants to query on-chain data, track transactions, or get information about DeFi protocols or tokens supported by the Bankless platform. It connects MCP clients to web3 data sources.

Project Page/Repository: Bankless Onchain MCP Server GitHub Repository

Base MCP Server

An official server from the Base team (Coinbase’s L2 network). It provides on-chain tools specifically for interacting with the Base Network and potentially the Coinbase API. This allows AI applications like Claude Desktop and Cursor to perform actions like checking balances, querying transactions, or interacting with smart contracts on Base.

Project Page/Repository: Base MCP Server GitHub Repository

Bitcoin & Lightning Network MCP Server

Developed by AbdelStark, this MCP server provides tools for interacting with both the Bitcoin blockchain and the Lightning Network. AI assistants could use this to query Bitcoin transactions, check balances, or potentially interact with Lightning Network channels or payments. It brings Bitcoin and Lightning functionality into the MCP ecosystem.

Project Page/Repository: Bitcoin & Lightning MCP Server GitHub Repository

BNBChain MCP (Binance Smart Chain)

A plug-and-play MCP tool server by TermiX-official focused on the Binance Smart Chain (BSC/BNB Chain). It enables sending BNB, transferring BEP-20 tokens, deploying new tokens, and interacting with smart contracts on BSC. Designed for Claude Desktop, AI agents, and developers needing BSC interaction via MCP.

Project Page/Repository: BNBChain MCP GitHub Repository

Chargebee MCP Server

The official MCP server from Chargebee, a subscription billing and revenue management platform. It allows interaction with Chargebee’s APIs, enabling AI assistants to potentially query subscription data, manage customer billing details, or retrieve financial reports. It integrates billing operations into MCP workflows.

Project Page/Repository: Chargebee MCP Server GitHub Directory

CoinGecko MCP Tool (Crypto Trader)

Developed by SaintDoresh (as Crypto Trader MCP Tool), this MCP tool provides cryptocurrency market data using the CoinGecko API. It’s specifically designed for use with Claude Desktop, allowing users to query coin prices, market cap, trading volumes, and other crypto market data conversationally.

Project Page/Repository: Crypto Trader MCP Tool GitHub Repository

Coincap MCP

Developed by QuantGeekDev, this MCP server accesses cryptocurrency data from the Coincap API. It enables AI assistants to retrieve real-time pricing, market cap, volume, and other data for various cryptocurrencies available on Coincap.io via MCP.

Project Page/Repository: Coincap MCP GitHub Repository

Coinmarket MCP server

Developed by anjor, this MCP server integrates with the CoinMarketCap API. It allows AI assistants to fetch cryptocurrency data such as prices, market capitalization, trading volume, and historical data from CoinMarketCap. It provides another major source for crypto market information via MCP.

Project Page/Repository: Coinmarket MCP Server GitHub Repository

Crypto Fear & Greed Index MCP Server

Provided by kukapay, this MCP server delivers real-time and historical Crypto Fear & Greed Index data from Alternative.me. AI assistants can use this to gauge market sentiment within the cryptocurrency space via MCP queries. It helps understand the overall mood influencing crypto price movements.

Project Page/Repository: Crypto Fear & Greed Index MCP GitHub Repository

Crypto Portfolio MCP

Also from kukapay, this MCP server is designed for tracking and managing cryptocurrency portfolio allocations. It enables AI agents to query portfolio composition, performance, and potentially optimize allocation strategies in real time via MCP. It brings portfolio management capabilities to conversational AI.

Project Page/Repository: Crypto Portfolio MCP GitHub Repository

Crypto Sentiment MCP Server

Another server from kukapay, this one delivers cryptocurrency sentiment analysis to AI agents. It leverages Santiment’s aggregated social media and news data to track market mood and detect emerging trends for various cryptocurrencies. It provides a specialized sentiment analysis tool via MCP.

Project Page/Repository: Crypto Sentiment MCP Server GitHub Repository

Dexscreener MCP server

Developed by janswist, this is a basic MCP server for the Dexscreener API. Dexscreener provides real-time data for assets on decentralized exchanges (DEXs). This server allows querying pair addresses, liquidity, volume, and price information for tokens traded on DEXs.

Project Page/Repository: Dexscreener MCP Server GitHub Repository

Dune Analytics MCP Server

Provided by kukapay, this MCP server acts as a bridge to Dune Analytics data. Dune allows users to query blockchain data using SQL and create dashboards. This server enables AI agents to execute Dune queries or fetch results from existing dashboards via MCP.

Project Page/Repository: Dune Analytics MCP Server GitHub Repository

EVM MCP Server

Developed by mcpdotdirect, this is a comprehensive MCP server providing blockchain services across multiple EVM-compatible networks (Ethereum, Optimism, Arbitrum, Base, Polygon, etc.). It offers a unified interface for AI agents to interact with various EVM chains, potentially for querying balances, transactions, or smart contracts.

Project Page/Repository: EVM MCP Server GitHub Repository

Free USDC Transfer MCP Server

Created by magnetai, this server enables free USDC transfers specifically on the Base blockchain. It integrates with Coinbase Developer Platform’s (CDP) MPC Wallet. This allows AI agents to initiate gasless USDC transactions on Base via MCP.

Project Page/Repository: Free USDC Transfer MCP Server GitHub Repository

Goat SDK Model Context Protocol

The MCP implementation of the Goat SDK, described as a leading agentic finance toolkit for AI agents. It likely provides a suite of tools for financial data analysis, portfolio management, or trading accessible via MCP. It aims to empower AI agents with robust financial capabilities.

Project Page/Repository: Goat SDK MCP GitHub Directory

Hyperliquid MCP Server

Developed by mektigboy, this MCP server implementation integrates the Hyperliquid SDK. Hyperliquid is likely a decentralized finance (DeFi) platform, possibly a derivatives exchange. This server allows AI assistants to interact with Hyperliquid’s features via MCP.

Project Page/Repository: Hyperliquid MCP Server GitHub Repository

investor-agent

A financial analysis MCP server by ferdousbhai, designed for building an “investor agent”. It likely provides tools for fetching stock data, analyzing financial statements, retrieving market news, or evaluating investment opportunities via MCP. It aims to assist AI in making investment-related analyses.

Project Page/Repository: investor-agent GitHub Repository

Ledger CLI MCP Server

Developed by minhyeoky, this server interacts with Ledger CLI, a command-line double-entry accounting system. It enables LLMs to query and analyze financial data managed by Ledger through a standardized MCP interface. This facilitates AI assistance with personal or small business accounting tasks.

Project Page/Repository: Ledger CLI MCP Server GitHub Repository

MCP Server for Paddle Billing

The official MCP server from PaddleHQ for their Paddle Billing platform. It provides tools for interacting with the Paddle API, likely allowing AI assistants to manage subscriptions, customers, transactions, or retrieve billing reports via MCP. Integrates Paddle’s revenue platform with conversational AI.

Project Page/Repository: Paddle Billing MCP Server GitHub Repository

Mesh Agent MCP Server (Heurist Network)

Provided by Heurist Network, this server connects to Heurist Mesh APIs. It gives AI assistants like Claude access to various blockchain and web3 tools available through the Heurist Mesh platform. It enables interaction with decentralized applications and services via MCP.

Project Page/Repository: Mesh Agent MCP Server GitHub Repository

Octagon: MCP For Market Data

A free MCP server from OctagonAI that integrates with the Octagon Market Intelligence API. It likely provides access to financial market data, potentially including stock prices, indices, economic indicators, or other market intelligence via MCP. Enables AI-driven market analysis.

Project Page/Repository: Octagon Market Data MCP Server GitHub Repository

ramp-mcp

The official MCP server from Ramp (finance automation platform). It allows retrieving and analyzing data or running tasks using the Ramp Developer API. It uses an in-memory SQLite database to handle potentially large data volumes for analysis by LLMs, overcoming token limits.

Project Page/Repository: Ramp MCP Server GitHub Repository

Stripe Model Context Protocol (Agent Toolkit)

The official MCP server from Stripe, part of their Agent Toolkit. It allows integration with various Stripe APIs through function calling (MCP tools). Enables AI assistants to interact with Stripe services like payments, subscriptions, customer management, and reporting.

Project Page/Repository: Stripe MCP Server GitHub Directory

tasty-agent

Developed by ferdousbhai, this MCP server allows interaction with TastyTrade (an online brokerage). It enables AI assistants like Claude to potentially check account balances, retrieve order history, get market data, or even place trades via the TastyTrade API and MCP.

Project Page/Repository: tasty-agent GitHub Repository

TheGraph MCP Server

Provided by kukapay, this MCP server powers AI agents with indexed blockchain data retrieved from The Graph protocol. The Graph indexes data from various blockchains, making it easily queryable. This server allows AI assistants to access this structured on-chain data via GraphQL queries proxied through MCP.

Project Page/Repository: TheGraph MCP Server GitHub Repository

Token Minter MCP

Another server from kukapay, this one provides tools for AI agents to mint new ERC-20 tokens. It supports deployment across 21 different EVM-compatible blockchains. This allows for conversational creation of standard fungible tokens via MCP.

Project Page/Repository: Token Minter MCP GitHub Repository

Token Revoke MCP

Also from kukapay, this server focuses on ERC-20 token allowance management. It provides tools for checking current allowances granted to smart contracts and revoking those allowances via MCP. This enhances security by allowing AI-assisted management of token permissions.

Project Page/Repository: Token Revoke MCP GitHub Repository

Uniswap Trader MCP

The fourth finance-focused server from kukapay, this one enables AI agents to automate token swaps on the Uniswap decentralized exchange (DEX). It supports multiple blockchains where Uniswap is deployed. Allows conversational initiation of token trades via MCP.

Project Page/Repository: Uniswap Trader MCP GitHub Repository

Xero MCP Server (john-zhang-dev)

Developed by john-zhang-dev, this MCP server allows clients to interact with Xero Accounting Software. AI assistants can potentially use this to retrieve financial reports, manage invoices, contacts, or perform other accounting tasks within Xero via MCP.

Project Page/Repository: Xero MCP Server GitHub Repository (john-zhang-dev)

Xero MCP Server (XeroAPI)

The official MCP server implementation from Xero. It provides a bridge between the MCP protocol and Xero’s API, offering standardized access to Xero’s accounting and business features. This allows AI assistants to perform various tasks within a user’s Xero account.

Project Page/Repository: Xero MCP Server GitHub Repository (XeroAPI)

Yahoo Finance MCP Server

Created by narumiruna, this is a simple MCP server for accessing Yahoo Finance data using the `yfinance` Python library. It provides tools to fetch stock data (prices, history), news headlines, and potentially other financial information available through Yahoo Finance.

Project Page/Repository: Yahoo Finance MCP Server GitHub Repository

YFinance Trader MCP Tool for Claude Desktop

Developed by SaintDoresh, this MCP tool provides stock market data and potentially trading capabilities using the `yfinance` library, specifically adapted for use within Claude Desktop. It allows conversational interaction with stock data and possibly trade execution.

Project Page/Repository: YFinance Trader MCP Tool GitHub Repository

AI & Machine Learning Services

This category lists MCP servers that provide access to other AI/ML models, platforms, or services. This includes servers for calling different language models, image generation models, accessing ML observability platforms, or utilizing specialized AI processing capabilities.

any-chat-completions-mcp MCP Server

Provided by pyroprompts, this server acts as a bridge, allowing integration between Claude (or other MCP clients) and *any* OpenAI SDK Compatible Chat Completion API. This includes providers like OpenAI itself, Perplexity, Groq, xAI, PyroPrompts, and others. It essentially enables Claude to leverage the capabilities of various different LLMs via MCP tools.

Project Page/Repository: any-chat-completions-mcp GitHub Repository

AWS Nova Canvas MCP Server

An official AWS server providing MCP access to Amazon’s Nova Canvas image generation model, part of the Nova AI family. AI assistants can use this tool to generate images based on textual descriptions provided by the user. It integrates AWS’s proprietary image generation capabilities into the MCP ecosystem.

Project Page/Repository: AWS Nova Canvas MCP Server Documentation

Amazon Bedrock MCP Server (Community)

Developed by zxkane, this community-provided MCP server also integrates with Amazon Bedrock’s Nova Canvas model for AI image generation. It offers an alternative implementation for accessing this specific Bedrock feature via MCP. Provides a way to generate images conversationally using the Nova model.

Project Page/Repository: Amazon Bedrock MCP Server GitHub Repository (zxkane)

Deepseek R1 MCP Server

Created by 66julienmartin, this MCP server provides an interface to the Deepseek R1 language model. Deepseek R1 is noted for its reasoning capabilities and 8192-token context window. This server allows MCP clients to leverage Deepseek R1’s specific strengths for tasks requiring strong reasoning.

Project Page/Repository: Deepseek R1 MCP Server GitHub Repository

DeepSeek MCP Server

Developed by DMontgomery40, this server provides MCP integration for the DeepSeek API. It allows MCP-compatible applications like Claude Desktop to seamlessly utilize DeepSeek’s language models. Offers another way to access DeepSeek models via the standardized protocol.

Project Page/Repository: DeepSeek MCP Server GitHub Repository

Deepseek Thinker MCP Server

Created by ruixingshi, this MCP provider focuses on delivering Deepseek’s *reasoning* content (thought processes) to MCP clients like Claude Desktop. It supports accessing these reasoning steps either from the official Deepseek API service or from a locally hosted Ollama server running a Deepseek model. This provides insight into the model’s thinking process.

Project Page/Repository: Deepseek Thinker MCP Server GitHub Repository

LlamaCloud MCP Server

The official MCP server from LlamaIndex (run-llama) for connecting to multiple managed indexes hosted on LlamaCloud. LlamaCloud provides managed services for LlamaIndex, a data framework for LLM applications. This server allows AI assistants to query and interact with data indexed and managed within LlamaCloud.

Project Page/Repository: LlamaCloud MCP Server GitHub Repository

MCP Claude Code

Provided by SDGLBL, this server implements Claude Code capabilities using the Model Context Protocol. Claude Code likely refers to specialized code generation, analysis, or execution features associated with Anthropic’s models. This server exposes those specific coding functionalities via standard MCP tools.

Project Page/Repository: MCP Claude Code GitHub Repository

MCP OpenAI Server

Developed by mzxrai, this MCP server allows users to seamlessly use OpenAI’s models (like GPT-4, GPT-3.5) directly from within Claude or other MCP clients. It acts as a bridge, translating MCP tool calls into requests to the OpenAI API. This enables leveraging OpenAI’s models within an MCP-native workflow.

Project Page/Repository: MCP OpenAI Server GitHub Repository

MCP Simple OpenAI Assistant

Created by andybrandt, this server provides access to OpenAI Assistants via MCP. OpenAI Assistants are stateful entities that can use tools and maintain context over conversations. This server allows an MCP client (like Claude) to interact with a pre-configured OpenAI Assistant.

Project Page/Repository: MCP Simple OpenAI Assistant GitHub Repository

Multi-Model Advisor

Developed by YuChenSSR, this MCP server queries *multiple* different language models hosted via Ollama (a local LLM runner) and combines their responses. It aims to provide diverse AI perspectives on a single question by consulting several models simultaneously. The aggregated response is then returned via MCP.

Project Page/Repository: Multi-Model Advisor GitHub Repository

Needle MCP Server

Provided by needle-ai, this MCP server allows managing documents and performing searches using the Needle platform, designed for use with Claude Desktop. Needle likely provides specialized document processing and retrieval capabilities optimized for AI interaction. This server exposes those functions via MCP.

Project Page/Repository: Needle MCP Server GitHub Repository

Opik MCP Server

The official MCP server implementation from Comet ML for their Opik platform. Opik is likely an MLOps or AI development platform. This server provides a unified interface to interact with Opik’s capabilities (potentially experiment tracking, model management, data versioning) via MCP.

Project Page/Repository: Opik MCP Server GitHub Repository

Perplexity MCP Server

Developed by tanigami, this server interacts with the Perplexity AI search API. It allows MCP clients to leverage Perplexity’s conversational search and answer synthesis capabilities. This provides access to Perplexity’s unique approach to information retrieval within the MCP framework.

Project Page/Repository: Perplexity MCP Server GitHub Repository

Replicate Flux MCP

Created by awkoy, this MCP server is specifically for the Replicate Flux Model. Flux is likely an image or asset generation model available on the Replicate platform. This server provides tools to generate customized images and SVG assets using the Flux model via MCP commands.

Project Page/Repository: Replicate Flux MCP GitHub Repository

Replicate MCP Server

Developed by deepfates, this is a more general MCP server implementation for the Replicate platform. It allows running various machine learning models hosted on Replicate through a simple tool-based MCP interface. This provides broad access to Replicate’s model catalog.

Project Page/Repository: Replicate MCP Server GitHub Repository

Unichat MCP Server

Developed by amidabuddha, this Python-based server sends requests to a wide variety of LLM providers (OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, Inception) using the MCP protocol. It acts as a multi-provider gateway, allowing interaction with different models via MCP tools or predefined prompts.

Project Page/Repository: Unichat MCP Server GitHub Repository

Watsonx.ai Flows Engine

Provided by IBM, this project includes setup instructions and potentially an MCP server for interacting with IBM’s Watsonx.ai Flows Engine. Watsonx Flows allow building complex AI workflows. This integration likely enables triggering or managing these flows via MCP.

Project Page/Repository: Watsonx.ai Flows Engine GitHub Directory

System, Filesystem & Hardware Interaction

This section includes MCP servers that provide tools for interacting directly with the local operating system, filesystem, hardware devices (like Android or iOS simulators), or specific desktop applications.

Desktop Commander MCP

Developed by wonderwhy-er, this server allows AI assistants to interact with the user’s desktop environment. Capabilities include searching for files, updating or managing files, and running terminal commands. It aims to provide broad control over the local machine via MCP commands.

Project Page/Repository: Desktop Commander MCP GitHub Repository

DroidMind

Created by hyperb1iss, DroidMind allows controlling Android devices with AI using the Model Context Protocol. This likely involves interacting with connected devices or emulators via ADB (Android Debug Bridge) or similar mechanisms. It enables AI assistants to perform actions on Android devices.

Project Page/Repository: DroidMind GitHub Repository

FileScopeMCP Server

Developed by admica, this MCP server focuses on understanding and visualizing codebase structure and dependencies within the local filesystem. It helps AI assistants analyze the organization of code projects, identify relationships between files, and navigate complex codebases. It provides specialized filesystem analysis tools.

Project Page/Repository: FileScopeMCP Server GitHub Repository

Filesystem MCP Server (Reference)

A reference implementation from the `modelcontextprotocol` repository, this Node.js server provides basic MCP tools for filesystem operations. This likely includes listing directories, reading files, writing files, and potentially creating or deleting files/directories on the local system where the server is running. It serves as a standard example for local file access.

Project Page/Repository: Filesystem MCP Server (Reference) GitHub Directory

Filesystem MCP Server (mark3labs)

A Go-based server implementation by mark3labs, also providing MCP tools for filesystem operations. This offers an alternative implementation language (Go) for performing actions like reading, writing, listing, or deleting files and directories on the local system via MCP commands.

Project Page/Repository: Filesystem MCP Server GitHub Repository (mark3labs)

ForeverVM MCP Server

Provided by jamsocket, this MCP Server integrates with ForeverVM. Its primary function demonstrated is enabling AI assistants like Claude to execute Python code within a persistent REPL (Read-Eval-Print Loop) environment hosted by ForeverVM. This allows for stateful code execution across interactions.

Project Page/Repository: ForeverVM MCP Server GitHub Directory

iOS Simulator MCP Server

Developed by joshuayoes, this server allows interaction with iOS simulators running on macOS. Capabilities include getting information about available simulators, controlling UI interactions (taps, swipes), and inspecting UI elements within the simulator. It enables AI-driven testing or interaction with iOS apps in a simulated environment.

Project Page/Repository: iOS Simulator MCP Server GitHub Repository

iterm-mcp

Created by ferrislucas, this MCP server provides access to a running iTerm2 session on macOS. It likely allows AI assistants to send commands to the terminal, read output, or potentially manage iTerm tabs and windows via MCP. This integrates terminal interaction directly into the AI assistant’s capabilities.

Project Page/Repository: iterm-mcp GitHub Repository

MCP Code Executor

Developed by bazinga012, this server allows LLMs to execute Python code within a *specified Conda environment*. This is crucial for running code that depends on specific libraries or versions managed by Conda. It provides a controlled Python execution environment accessible via MCP.

Project Page/Repository: MCP Code Executor GitHub Repository

MCP Shell Server

Provided by tumf, this server enables secure execution of *whitelisted* shell commands via MCP. It emphasizes security by only allowing pre-approved commands and supports providing standard input to the executed commands. This offers a controlled way for AI assistants to interact with the system shell.

Project Page/Repository: MCP Shell Server GitHub Repository

MCP System Monitor

Developed by seekrays, this tool exposes system metrics (like CPU usage, memory consumption, disk I/O) via the Model Context Protocol. It allows LLMs or AI assistants to retrieve real-time system performance information from the machine where the server is running. Useful for monitoring or diagnostics tasks.

Project Page/Repository: MCP System Monitor GitHub Repository

MCP Text Editor Server

Also from tumf, this server provides line-oriented text file editing capabilities via a standardized MCP API. It is optimized for LLM tools by allowing efficient partial file access (reading/writing specific line ranges) to minimize token usage when working with large files. It offers granular control over text file manipulation.

Project Page/Repository: MCP Text Editor Server GitHub Repository

Mobile Next – MCP server for Mobile Automation

Developed by mobile-next, this MCP server enables scalable mobile automation across both iOS and Android. It provides a platform-agnostic interface, meaning the AI assistant doesn’t need specific knowledge of either operating system to perform actions like tapping buttons, entering text, or navigating apps on connected mobile devices or emulators.

Project Page/Repository: Mobile Next MCP Server GitHub Repository

mcp-run-python (Pydantic)

The official server from Pydantic for executing Python code in a sandboxed environment. It uses Pyodide running within Deno for secure execution, automatically handles dependencies (via imports or PEP 723), and provides detailed output/error reporting. It’s a key tool for enabling safe Python execution for AI agents.

Project Page/Repository: Pydantic mcp-run-python Documentation

Siri Shortcuts MCP Server

Developed by dvcrn, this MCP server provides access to Siri Shortcuts functionality on macOS. It allows listing available shortcuts, opening the Shortcuts app, and running specific shortcuts via MCP commands. This enables AI assistants to trigger complex automations defined by the user in the Shortcuts app.

Project Page/Repository: Siri Shortcuts MCP Server GitHub Repository

simctl-mcp

Provided by ambar, this is another MCP server implementation focused on controlling the iOS Simulator via the `simctl` command-line tool. It likely offers similar functionality to the other iOS Simulator server, enabling management and interaction with simulated iOS devices via MCP.

Project Page/Repository: simctl-mcp GitHub Repository

Scientific, Research & Specialized Data APIs

This section features MCP servers that provide access to specific scientific databases, research paper repositories, geographic information systems, or other specialized data sources and APIs not covered in broader categories.

arxiv-latex MCP Server

Developed by takashiishida, this server enables AI assistants like Claude Desktop to directly access and process research papers from arXiv.org by fetching their LaTeX source code. It utilizes the `arxiv-to-prompt` tool internally to handle the downloading and processing of the LaTeX. This allows AI to work with the structured source of scientific papers, rather than just the PDF.

Project Page/Repository: arxiv-latex MCP Server GitHub Repository

BICScan MCP Server

Provided by ahnlabio, this server leverages the BICScan API for blockchain address risk scoring. It provides comprehensive risk assessments and asset information for blockchain addresses, domains, and decentralized applications (dApps). Useful for security analysis and due diligence in the crypto space via MCP.

Project Page/Repository: BICScan MCP Server GitHub Repository

BioMCP: Biomedical Model Context Protocol

Developed by genomoncology, BioMCP is described as an open-source toolkit (and likely MCP server) for biomedical research AI. While specifics aren’t detailed, it likely provides tools for accessing biomedical databases (like PubMed, gene databases), analyzing biological data, or running bioinformatics tools via MCP. It aims to facilitate AI-driven biomedical research.

Project Page/Repository: BioMCP GitHub Repository

Chess.com MCP Server

Created by pab1it0, this is an MCP server for interacting with Chess.com’s Published Data API. It likely allows AI assistants to retrieve player statistics, game histories, tournament information, or potentially analyze chess positions using data from Chess.com. It connects conversational AI to the popular online chess platform.

Project Page/Repository: Chess.com MCP Server GitHub Repository

Climatiq MCP Server

Developed by jagan-shanmugam, this MCP server accesses the Climatiq API to calculate carbon emissions based on various activities or parameters. It enables AI assistants to perform real-time carbon footprint estimations and provide climate impact insights conversationally. Useful for sustainability-focused applications.

Project Page/Repository: Climatiq MCP Server GitHub Repository

College Football Data MCP Server

Created by lenwood, this MCP server provides access to college football statistics sourced from the College Football Data API. AI assistants like Claude Desktop can use this to retrieve team stats, player information, game results, historical data, and potentially betting lines via MCP commands.

Project Page/Repository: College Football Data MCP Server GitHub Repository

Dataset Viewer MCP Server

Provided by privetin, this server interacts with the Hugging Face Dataset Viewer API. It allows AI assistants to browse, query metadata, and potentially analyze the structure and content of datasets hosted on the Hugging Face Hub via MCP. Facilitates exploration of ML datasets conversationally.

Project Page/Repository: Dataset Viewer MCP Server GitHub Repository

Didlogic MCP Server

Developed by UserAd, this is an MCP server implementation for the Didlogic API. Didlogic provides services related to DID (Direct Inward Dialing) phone numbers. This server likely allows AI assistants to manage phone numbers, check availability, or configure routing via MCP.

Project Page/Repository: Didlogic MCP Server GitHub Repository

FirstCycling MCP Server

Created by r-huijts, this server provides professional cycling data from FirstCycling.com via MCP. AI assistants can use it to retrieve comprehensive information about professional cyclists, race results, race details (stages, profiles), and historical cycling data. Useful for sports analysis and fan engagement.

Project Page/Repository: FirstCycling MCP Server GitHub Repository

IP Geolocation MCP Server

Developed by briandconnelly, this simple MCP server uses the ipinfo.io API to get detailed geolocation and network information about a given IP address. AI assistants can use this tool to determine the location, ISP, and other relevant details associated with an IP via MCP.

Project Page/Repository: IP Geolocation MCP Server GitHub Repository

Lara Translate MCP Server

Provided by Translated, this MCP Server uses the Lara Translate API. It enables powerful translation capabilities, including support for language detection and context-aware translations, accessible via MCP commands. It integrates professional translation services into AI workflows.

Project Page/Repository: Lara Translate MCP Server GitHub Repository

Maigret MCP Server

Developed by BurtTheCoder, this server interfaces with Maigret, a powerful OSINT (Open Source Intelligence) tool for collecting user account information across websites. It provides MCP tools for searching usernames across social networks and analyzing URLs, enabling AI-assisted OSINT investigations.

Project Page/Repository: Maigret MCP Server GitHub Repository

MCP Scholarly

Created by adityak74, this MCP server focuses on searching for accurate academic articles. While the specific sources weren’t detailed in the initial description, it aims to provide reliable scholarly information retrieval for AI assistants, potentially integrating multiple academic databases or search engines.

Project Page/Repository: mcp-scholarly GitHub Repository

MCP Simple PubMed

Developed by andybrandt, this server provides access specifically to PubMed articles using the NCBI Entrez API. AI assistants can search for biomedical literature, retrieve abstracts, and potentially get full-text links available through PubMed via MCP commands.

Project Page/Repository: MCP Simple PubMed GitHub Repository

National Parks MCP Server

Created by KyrieTangSheng, this MCP server interacts with the US National Park Service (NPS) API. It provides real-time information about U.S. National Parks, including park details (hours, fees), active alerts, visitor center information, and available activities, all accessible via MCP.

Project Page/Repository: National Parks MCP Server GitHub Repository

NASA MCP Server

Developed by ProgramComputer, this server provides a standardized MCP interface for interacting with various NASA APIs. This allows AI models to access NASA’s vast array of data sources, potentially including astronomical data, earth science information, mission details, or image libraries.

Project Page/Repository: NASA MCP Server GitHub Repository

Open Data Model Context Protocol

Provided by OpenDataMCP, this project aims to connect *any* Open Data source to LLMs via MCP. While likely a framework or collection rather than a single server, its goal is to facilitate AI interaction with publicly available datasets from governments, institutions, or other open data providers.

Project Page/Repository: OpenDataMCP GitHub Repository

OpenCTI MCP Server

Developed by Spathodea-Network, this server provides seamless integration with the OpenCTI (Open Cyber Threat Intelligence) platform via MCP. It allows AI assistants to query and potentially manage threat intelligence data, including indicators of compromise, threat actors, malware information, and relationships between them.

Project Page/Repository: OpenCTI MCP Server GitHub Repository

OpenStreetMap (OSM) MCP Server

Created by jagan-shanmugam, this MCP server enhances LLM capabilities with location-based services and geospatial data from OpenStreetMap. AI assistants can use this to query map data, find points of interest, get routing information, or perform other geospatial analyses based on OSM’s extensive open data.

Project Page/Repository: OpenStreetMap MCP Server GitHub Repository

Oorlogsbronnen MCP Server

Developed by r-huijts, this server provides AI-powered access to the Oorlogsbronnen (War Sources) database, which contains historical World War II archives primarily from the Netherlands. It enables natural language interaction with this specific historical dataset via MCP.

Project Page/Repository: Oorlogsbronnen MCP Server GitHub Repository

Prometheus MCP Server

Created by pab1it0, this is an MCP server for interacting with the Prometheus monitoring system. It likely allows AI assistants to query metrics collected by Prometheus using PromQL (Prometheus Query Language) or retrieve information about targets and alerts via MCP commands.

Project Page/Repository: Prometheus MCP Server GitHub Repository

Quran MCP Server

Developed by djalal, this MCP server interacts with the Quran.com corpus using their official REST API v4. It allows AI assistants to retrieve specific verses, search the text, or access translations and commentary available through the Quran.com API via MCP.

Project Page/Repository: Quran MCP Server GitHub Repository

Rijksmuseum MCP Server

Created by r-huijts, this server provides access to the collection of the Rijksmuseum (Dutch national museum) via MCP. AI models can use this to explore artworks, get details about artists, search the collection, or analyze specific pieces using natural language interactions.

Project Page/Repository: Rijksmuseum MCP Server GitHub Repository

Shodan MCP Server

Developed by BurtTheCoder, this server queries the Shodan API and Shodan CVEDB. It provides comprehensive access to Shodan’s internet-wide scanner data, including IP reconnaissance, DNS operations, vulnerability tracking (CVEs), and device discovery, all structured for MCP interaction.

Project Page/Repository: Shodan MCP Server GitHub Repository

VirusTotal MCP Server

Also by BurtTheCoder, this server queries the VirusTotal API for security analysis. It allows submitting files or URLs for scanning, retrieving scan reports, and automatically fetches related relationship data (e.g., domains hosting malware). Integrates threat analysis into MCP clients.

Project Page/Repository: VirusTotal MCP Server GitHub Repository

Whois MCP

Provided by bharathvaj-ganesan, this MCP server is specifically for performing WHOIS lookups on domain names. AI assistants can use this tool to retrieve registration details, contact information, and nameserver data for domains via the standardized MCP interface.

Project Page/Repository: Whois MCP GitHub Repository

Entertainment, Social & Lifestyle

This section includes MCP servers related to social media platforms, entertainment services (movies, music, gaming), travel booking, personal health tracking, and other lifestyle applications.

AniList MCP Server

Developed by yuna0x0, this MCP server interfaces with the AniList API. It allows LLM clients to access and interact with data about anime, manga, characters, staff, and users from the AniList platform. This enables AI assistants to search for shows, track progress, or get recommendations.

Project Page/Repository: AniList MCP Server GitHub Repository

Bilibili MCP

Provided by 34892002, this is an MCP server for searching content on Bilibili, a popular video sharing and streaming platform, particularly in East Asia. AI assistants can use this to find videos, channels, or other information available on Bilibili via MCP commands.

Project Page/Repository: Bilibili MCP GitHub Repository

Bluesky Context Server

Developed by keturiosakys, this simple MCP server enables clients to query Bluesky instances. Bluesky is a decentralized social networking protocol. This server likely allows AI assistants to search for posts, users, or retrieve content from the Bluesky network via MCP.

Project Page/Repository: Bluesky Context Server GitHub Repository

Chess.com MCP Server

Created by pab1it0, this MCP server interacts with Chess.com’s Published Data API. It enables AI assistants to retrieve player profiles, game archives, tournament results, and potentially analyze positions using data from the popular online chess platform. Integrates chess data into conversational AI.

Project Page/Repository: Chess.com MCP Server GitHub Repository

Discord MCP (SaseQ)

A Java-based MCP server by SaseQ using the JDA library for interacting with Discord. It allows AI assistants to participate in Discord servers, potentially reading and sending messages, or managing channels/users. Offers a Java alternative for Discord integration.

Project Page/Repository: Discord MCP GitHub Repository (SaseQ)

Discord MCP Server (v-3)

Developed by v-3, this server also enables LLMs to interact with Discord channels via the official Discord API. AI assistants like Claude can send and read messages within specified channels, providing conversational access to Discord communication.

Project Page/Repository: Discord MCP Server GitHub Repository (v-3)

FirstCycling MCP Server

Created by r-huijts, this server provides professional cycling data from FirstCycling.com via MCP. AI assistants can retrieve detailed information about riders, race results, stage details, and historical cycling data. Useful for sports fans or analysts using conversational AI.

Project Page/Repository: FirstCycling MCP Server GitHub Repository

Flightradar24 MCP Server

Developed by sunsetcoder, this is a Claude Desktop MCP server for tracking flights in real-time using Flightradar24 data. It allows users to query flight statuses, positions, routes, and aircraft details conversationally. Ideal for aviation enthusiasts or travelers.

Project Page/Repository: Flightradar24 MCP Server GitHub Repository

MCP Server Giphy

Created by magarcia, this MCP server interacts with the Giphy API. It enables AI models to search for, retrieve, and potentially utilize animated GIFs from Giphy’s vast library within conversational contexts. Useful for adding visual expression to AI interactions.

Project Page/Repository: MCP Server Giphy GitHub Repository

MCP Server for Ticketmaster

Developed by delorenj, this server provides tools for discovering events, venues, and attractions using the Ticketmaster Discovery API. AI assistants can use this to find concert tickets, sporting events, or theatre shows based on user queries for location, date, or artist via MCP.

Project Page/Repository: Ticketmaster MCP Server GitHub Repository

NS Travel Information MCP Server

Created by r-huijts, this server connects AI assistants like Claude to real-time travel information from NS (Nederlandse Spoorwegen), the Dutch national railway operator. Users can query train schedules, disruptions, and plan journeys within the Netherlands conversationally via MCP.

Project Page/Repository: NS Travel Information MCP Server GitHub Repository

Nostr MCP Server

Developed by AbdelStark, this server enables AI models to interact with Nostr, a decentralized social networking protocol. It allows AI assistants to potentially post notes (similar to tweets), retrieve user profiles, or follow event streams on the Nostr network via MCP commands.

Project Page/Repository: Nostr MCP Server GitHub Repository

Oura MCP Server

Created by tomekkorbak, this MCP server provides access to the Oura Ring API. It allows language models to query personal health data, including sleep stages, readiness scores, activity levels, and resilience metrics recorded by the Oura Ring, enabling AI-driven health insights.

Project Page/Repository: Oura MCP Server GitHub Repository

Spotify MCP Server (marcelmarais)

A lightweight MCP server by marcelmarais enabling AI assistants (like Cursor & Claude) to control Spotify playback (play, pause, skip) and manage user playlists. This allows for conversational control over music listening experiences.

Project Page/Repository: Spotify MCP Server GitHub Repository (marcelmarais)

spotify-mcp MCP server (varunneal)

Another community project by varunneal connecting Claude (or other clients) with Spotify via MCP. Built using the `spotipy` Python library, it likely offers similar playback control and playlist management features, providing an alternative implementation.

Project Page/Repository: spotify-mcp GitHub Repository (varunneal)

Strava MCP Server + OAuth (kw510)

Developed by kw510, this server supports remote MCP connections authenticated via Strava OAuth. It allows AI assistants to interact with a user’s Strava data, potentially retrieving activity details, segment information, or personal performance stats after user authorization.

Project Page/Repository: Strava MCP Server + OAuth GitHub Repository (kw510)

Strava MCP Server (r-huijts)

An alternative TypeScript-based MCP server by r-huijts acting as a bridge to the Strava API. It exposes Strava data (activities, segments, routes) and functionalities as MCP tools for LLMs. Provides another way to integrate fitness tracking data conversationally.

Project Page/Repository: Strava MCP Server GitHub Repository (r-huijts)

TFT MCP Server

Created by GeLi2001, this server provides access to Team Fight Tactics (TFT) game data via MCP. AI assistants could use this to look up player stats, match histories, item combinations, champion details, or other data related to the popular auto-battler game.

Project Page/Repository: TFT MCP Server GitHub Repository

TikTok MCP

Developed by Seym0n, this server integrates TikTok access into Claude AI and other apps via TikNeuron. It likely allows AI assistants to search for TikTok videos, retrieve video details, or interact with the platform in other ways permitted by the underlying library or API.

Project Page/Repository: TikTok MCP GitHub Repository

TMDB MCP Server

Provided by Laksh-star, this server integrates with The Movie Database (TMDB) API. It allows AI assistants to fetch movie information, search for films or TV shows, get cast and crew details, and retrieve recommendations via MCP commands.

Project Page/Repository: TMDB MCP Server GitHub Repository

Tripadvisor MCP Server

Created by pab1it0, this is an MCP server for the Tripadvisor Content API. It enables AI assistants to search for hotels, restaurants, attractions, read reviews, or get travel recommendations from Tripadvisor’s extensive database via MCP.

Project Page/Repository: Tripadvisor MCP Server GitHub Repository

VRChat MCP Server

Developed by sawa-zen, this server provides access to VRChat’s API endpoints in a structured MCP format. It supports functionalities like user authentication, retrieving user/friend info, accessing avatar and world data, and potentially other interactions within the VRChat social VR platform.

Project Page/Repository: VRChat MCP Server GitHub Repository

Utilities & Meta-Tools

This section comprises MCP servers that provide general utility functions (like calculations, notifications, data conversion), security auditing capabilities, or meta-functionality related to the MCP ecosystem itself (like installing, managing, or verifying other MCP servers).

attestable-mcp-server

Developed by co-browser, this unique server aims to enhance the security and trustworthiness of the MCP ecosystem. It provides tools to verify that any *other* MCP server is running the intended and untampered code, leveraging hardware attestation techniques. This allows clients to gain higher confidence in the integrity of the remote tools they are interacting with.

Project Page/Repository: attestable-mcp-server GitHub Repository

Calculator MCP Server

Provided by githejie, this is a straightforward utility server enabling LLMs to perform precise numerical calculations. Instead of relying on the LLM’s sometimes approximate arithmetic, AI assistants can use this tool for accurate math operations via MCP. It offloads calculation tasks to a dedicated, reliable component.

Project Page/Repository: Calculator MCP Server GitHub Repository

Everything MCP Server (Reference)

A reference implementation from the `modelcontextprotocol` repository designed specifically for testing and demonstration purposes. It aims to exercise *all* features of the MCP protocol, including prompts, tools, resources, authentication sampling, and more. It’s not intended for practical use but serves as a comprehensive testbed for developers building MCP clients.

Project Page/Repository: Everything MCP Server (Reference) GitHub Directory

MCP Content Summarizer Server

Developed by 0xshellming, this server provides intelligent summarization capabilities for various types of content using Google’s Gemini 1.5 Pro model. AI assistants can pass text or potentially other content formats to this server via MCP to receive concise summaries. It leverages a powerful external LLM specifically for the summarization task.

Project Page/Repository: MCP Content Summarizer Server GitHub Repository

MCP Create Server

Created by tesla0225, this server acts as a dynamic management service for *other* MCP servers. Functioning as an MCP server itself, it can create, run, and manage other MCP servers as child processes based on client requests. This enables a flexible and dynamically configurable MCP ecosystem.

Project Page/Repository: MCP Create Server GitHub Repository

mcp-installer

Developed by anaisbetts, this meta-tool is an MCP server designed specifically to install *other* MCP servers. Users can ask an AI assistant (like Claude) connected to this server to install MCP servers that are hosted on package managers like npm or PyPI. It requires `npx` and `uv` to be available on the host system.

Project Page/Repository: mcp-installer GitHub Repository

MCP-timeserver

A simple utility server by SecretiveShell that exposes current date and time information to agentic systems via MCP. While seemingly basic, this can be crucial for AI agents that need accurate timestamps or need to perform time-based operations reliably. It provides a standardized way to get datetime context.

Project Page/Repository: MCP-timeserver GitHub Repository

MCP-wolfram-alpha

Also from SecretiveShell, this server connects to the Wolfram Alpha computational knowledge engine API. It allows AI assistants to leverage Wolfram Alpha’s powerful capabilities for solving mathematical problems, querying curated data, performing complex calculations, and getting expert-level answers via MCP commands.

Project Page/Repository: MCP-wolfram-alpha GitHub Repository

Multiverse MCP Server

Developed by lamemind, this server acts as middleware, enabling multiple isolated instances of the *same* MCP server to run concurrently. Each instance can have its own unique namespace and configuration. This is useful for scenarios requiring separation or multi-tenancy for a specific MCP tool.

Project Page/Repository: Multiverse MCP Server GitHub Repository

ntfy-mcp

Created by teddyzxcv, this server integrates with the `ntfy.sh` push notification service. It allows AI assistants or automated processes to send notifications (e.g., upon task completion) to users via ntfy topics using MCP commands. It acts as a simple notification bridge.

Project Page/Repository: ntfy-mcp GitHub Repository

Pushover MCP

Developed by ashiknesin, this server provides an MCP implementation for sending notifications via the Pushover.net service. Similar to the ntfy server, it allows AI assistants or applications to push alerts and messages to users’ devices configured with Pushover.

Project Page/Repository: Pushover MCP GitHub Repository

Security Audit Tool (npm)

Provided by qianniuspace, this MCP server audits npm package dependencies for known security vulnerabilities. It uses remote npm registry integration for real-time checks, allowing AI assistants to assess the security posture of Node.js projects conversationally.

Project Page/Repository: Security Audit Tool GitHub Repository