FastMCP is a Python framework for building Model Context Protocol servers, clients, and interactive applications that connect language models to tools and data.
The Model Context Protocol enables LLMs to access external tools and information, but implementing it correctly requires handling schema generation, validation, transport negotiation, authentication, and protocol lifecycle management. FastMCP addresses this by letting developers declare tools as ordinary Python functions, with schemas and documentation generated automatically. The framework manages all protocol complexity behind the scenes, so developers focus on business logic rather than MCP implementation details.
FastMCP suits teams building LLM applications that need reliable tool integration without wrestling with protocol specifics. The framework provides three main components: servers that expose tools, resources, and prompts to LLMs; clients that connect to any MCP server with full protocol support; and apps that render interactive UIs directly in conversations. This approach works for both simple single-tool services and complex multi-tool systems. A TypeScript counterpart exists for teams preferring that language, maintained by the same team with equivalent capabilities.
The project maintains active development with regular updates and broad adoption across the MCP ecosystem. The codebase shows consistent refinement of core abstractions and steady expansion of capabilities across all three pillars. Documentation is comprehensive and kept current alongside feature development. The project demonstrates responsiveness to real-world usage patterns, with improvements driven by practical needs of deployed applications.