FastMCP Python Framework
Builds high-performance Model Context Protocol (MCP) servers in Python to expose tools, resources, and prompts to LLMs.
FastMCP is a robust Python framework designed for creating Model Context Protocol (MCP) servers that bridge the gap between Large Language Models and external data or functions. It provides a production-ready ecosystem featuring flexible storage backends like Redis and Disk, a modular middleware system for logging and rate limiting, and comprehensive OAuth authentication patterns. Whether you are building custom tools for Claude or deploying complex AI integrations via FastMCP Cloud, this skill provides the patterns and best practices needed to implement secure, scalable, and type-safe MCP servers with minimal boilerplate.
Key Features
01Plug-and-play middleware for logging, rate limiting, and response caching
02Automated OpenAPI specification integration and FastAPI conversion
03Multiple storage backends for persistent state and token management
0491 GitHub stars
05Advanced authentication support including OAuth Proxy and JWT validation
06Seamlessly expose Python functions as tools, resources, and prompts to LLMs
Use Cases
01Building custom toolsets for Claude to interact with internal databases or APIs
02Creating secure, authenticated MCP servers for enterprise-grade AI integrations
03Rapidly prototyping and deploying MCP services using the FastMCP CLI