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Awesome MCP Servers

by MCP-Mirror

A curated list of awesome Model Context Protocol (MCP) servers. MCP enables AI models to securely interact with local and remote resources through standardized server implementations.

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What is Awesome MCP Servers?

This is a curated list of Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.

How to use Awesome MCP Servers?

Browse the list of server implementations categorized by functionality (e.g., Browser Automation, Databases, File Systems). Each entry provides a link to the server's repository and relevant details. You can also explore the tutorials and community resources for guidance.

Key features of Awesome MCP Servers

  • Curated list of MCP server implementations

  • Categorized by functionality

  • Links to server repositories

  • Tutorials and community resources

Use cases of Awesome MCP Servers

  • Extending AI capabilities through file access

  • Connecting AI models to databases

  • Integrating AI with APIs

  • Providing contextual services to AI models

FAQ from Awesome MCP Servers

What is MCP?

MCP stands for Model Context Protocol. It's an open protocol that allows AI models to interact with local and remote resources securely through standardized server implementations.

What types of servers are included in this list?

The list includes production-ready and experimental MCP servers that extend AI capabilities through various services like file access, database connections, and API integrations.

How do I find a server for a specific task?

The servers are categorized by functionality. Browse the categories to find servers that match your needs.

Where can I find tutorials on using MCP?

The README provides links to tutorials such as the 'Model Context Protocol (MCP) Quickstart' and 'Setup Claude Desktop App to Use a SQLite Database'.

How can I contribute to this list?

The README doesn't explicitly state how to contribute, but it's likely through pull requests to the GitHub repository.