Awesome MCP Servers is a comprehensive directory of Model Context Protocol implementations that enable AI models to securely interact with local and remote resources. This repository serves as a central hub for discovering production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
Awesome MCP Servers is a curated list of Model Context Protocol (MCP) server implementations. This repository serves as a central resource for developers and users looking to extend AI capabilities through standardized server implementations.
The Model Context Protocol (MCP) is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. These servers extend AI capabilities by providing access to file systems, databases, APIs, and other contextual services.
This repository is organized as a directory of MCP servers categorized by their functionality. Each entry includes information about the implementation, such as:
To use any of the MCP servers listed in this repository:
If you've developed an MCP server or know of one that isn't listed, contributions are welcome. Please check the CONTRIBUTING.md file for guidelines on how to submit new entries.
For those new to MCP, check out these helpful resources: