Awesome s Directory MCP Server

Introduction

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enables AI agents to access external tools and services. This directory is maintained in collaboration with ChatHub and serves as a central resource for discovering available MCP servers.

Installation

To use any of the MCP servers listed in this directory, you'll need to:

1. Choose the specific MCP server you want to use from the repository
2. Follow the installation instructions provided in the respective server's GitHub repository
3. Configure your AI client (like Claude, Cursor, or other MCP-compatible clients) to connect to the server

Most MCP servers will require you to add configuration to your client's settings. The exact configuration depends on the specific server and client you're using.

Categories of MCP Servers

The directory organizes MCP servers into two main categories:

Reference Servers

These are demonstration implementations that showcase MCP features and the TypeScript and Python SDKs. They include servers for:

• Web search and content fetching
• File system operations
• Git and GitLab integration
• Google services (Drive, Maps)
• Database access (PostgreSQL, SQLite)
• Browser automation
• And more

Official Servers

These are production-ready integrations maintained by companies for their platforms. The list includes servers from:

• AWS services
• Developer tools (CircleCI, Cloudflare, dbt)
• Data platforms (Chroma, ClickHouse)
• Productivity tools
• And many others

Contributing

If you've developed an MCP server that you'd like to add to this directory, you can submit a pull request to the GitHub repository.

License

The Awesome MCP Servers directory is available under the MIT license.

Additional Resources

• Visit mcpservers.org for more information about MCP servers
• Check the Model Context Protocol documentation to learn more about the protocol itself
• Join the community discussions to share your experiences and get help with MCP servers