FastMCP is a production-ready Python framework for implementing the Model Context Protocol (MCP), which standardizes connections between large language models (LLMs) and external tools or data sources. It simplifies the development of MCP applications by handling protocol complexities like serialization, validation, and error handling, allowing developers to focus on business logic.
Key Features:
- Clean Pythonic API: Define tools, resources, and prompts using decorators and intuitive classes.
- Modular Architecture: Built around three core abstractions—Components (exposed functionality), Providers (sources of components), and Transforms (client-facing customization).
- Protocol Compliance: Automatically manages MCP specification details, ensuring compatibility and best practices.
- LLM-Friendly Documentation: Offers documentation via MCP server, markdown formats, and searchable tools.
- Deployment Ready: Supports HTTP deployment and integration with platforms like Prefect Horizon for hosting.
Use Cases:
- Building custom MCP servers to expose internal tools or data to AI assistants.
- Creating clients to interact with MCP servers programmatically.
- Developing AI applications that require dynamic tool integration, such as chatbots or automation agents.
- Streamlining development for teams working with LLM ecosystems, reducing boilerplate and maintenance overhead.
