Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) implementations that enable AI models to securely interact with local and remote resources. This curated list includes production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services. The repository serves as a central hub for discovering and implementing various MCP servers across different categories.
Awesome MCP Servers is a curated collection of Model Context Protocol (MCP) server implementations. The Model Context Protocol enables AI models to securely interact with local and remote resources through standardized server implementations, extending AI capabilities through file access, database connections, API integrations, and other contextual services.
The Model Context Protocol (MCP) is an open protocol that standardizes how AI models interact with external resources. It allows AI assistants to access files, databases, APIs, and other services in a secure and consistent manner.
This repository lists various clients that support MCP, including:
The repository organizes MCP servers into various categories:
To use any of the MCP servers listed in this repository:
If you'd like to contribute to this list, please read the CONTRIBUTING.md file for guidelines on how to submit new MCP servers or improve existing entries.
This project follows a Code of Conduct to ensure a welcoming and inclusive environment for all contributors. Please review the CODE_OF_CONDUCT.md file for details.