FastMCP is a high-level Python framework designed to streamline the creation of Model Context Protocol (MCP) servers, allowing developers to expose custom tools, data resources, and prompts to Large Language Models like Claude. It provides a rich feature set including asynchronous tool execution, persistent storage backends like Redis and Disk, a modular middleware system for logging and rate limiting, and advanced context features such as agentic sampling and background tasks. It is the ideal solution for developers building secure, scalable, and complex integrations between Python-based services and AI agents.
主な機能
01Pluggable storage backends including Memory, Disk, Redis, and encrypted options
02117 GitHub stars
03Native background task support via Docket for long-running operations with progress tracking
04Agentic sampling allowing LLMs to utilize tools within their own reasoning loops
05Built-in middleware for timing, caching, logging, and rate limiting
06Asynchronous tool, resource, and prompt definition with Pydantic type validation
ユースケース
01Implementing long-running data processing workflows that provide real-time status updates to the user
02Creating custom toolkits that allow Claude to interact with internal proprietary databases or APIs
03Deploying secure, OAuth-protected MCP servers to production environments or FastMCP Cloud