FastMCP is an open-source Python framework for building MCP (Model Context Protocol) servers and clients that empower LLMs with external tools, data sources, and custom prompts. Developers define tool classes and resource handlers in Python, register them with the FastMCP server, and deploy using transport protocols like HTTP, STDIO, or SSE. The framework’s client library offers an asynchronous interface for interacting with any MCP server, facilitating seamless integration of AI agents into applications.
FastMCP Core Features
Define and register custom tools for LLMs
Standardized Model Context Protocol server
Asynchronous client library for interactions
Support for multiple transport protocols (HTTP, STDIO, SSE)
Easy prompt and context management
FastMCP Pro & Cons
The Cons
No pricing information available
Lacks dedicated mobile app or extension presence
May require familiarity with MCP concepts and Python
The Pros
High-level, Pythonic interface reduces development complexity
Comprehensive platform including deployment, authentication, testing, and integrations
Supports standardized MCP, allowing secure and uniform LLM integration
Built-in support for major AI platform integrations like OpenAI and Anthropic
Actively maintained and part of an emerging ecosystem
