Model Context Protocol Servers

📋 Overview:

This webpage provides a directory of Model Context Protocol (MCP) servers. MCP allows Large Language Models (LLMs) secure and controlled access to various tools and data sources. The page lists reference implementations, third-party integrations, community-developed servers, and relevant frameworks and resources. It also provides information on contributing and security.

⭐ Key Points:

• The page serves as a central repository for MCP servers, clients, and resources.


• It distinguishes between reference, official (third-party) and community-developed servers.


• It includes links to frameworks that simplify MCP server and client development.


• It provides details on contributing to the repository and reporting security vulnerabilities.


• It offers instructions on how to use the listed MCP servers and configure MCP clients (e.g., Claude Desktop).


🔍 Main Findings:

• The MCP ecosystem is growing, with numerous community-developed servers available.


• Official integrations demonstrate the adoption of MCP by various companies for their platforms.


• The listed servers cover a wide range of functionalities, including web search, file system access, database interaction, and integration with various services and APIs.


• The document emphasizes that community-developed servers are untested and should be used at the user's own risk.


📊 Details:

• Reference servers, developed by the project maintainers, showcase MCP features using Typescript and Python SDKs, like AWS KB Retrieval, Brave Search, Google Drive, and PostgreSQL.


• Third-party servers are production-ready MCP servers built by companies for their platforms, such as ClickHouse, Grafana, and Stripe.


• Community servers are built by individuals for purposes such as interacting with MongoDB, Twitter, and for travel planning.


• Frameworks like EasyMCP (TypeScript) and Quarkus MCP Server SDK (Java) are provided to simplify MCP server implementation.

🎯 Conclusion:
The webpage is a comprehensive resource for developers interested in the Model Context Protocol. It facilitates discovery of existing MCP servers and provides guidance for creating new ones, promoting the adoption and expansion of the MCP ecosystem. It also clearly distinguishes between tested and untested solutions, placing the onus of safe usage on the end-user of community contributions.