Enables building and running Model Context Protocol (MCP) servers to expose tools and functions over streamable HTTP for AI assistants.
Model Context Protocol (MCP) provides a Python framework for easily creating and deploying servers that expose custom tools and functions to AI assistants. It leverages streamable HTTP for efficient communication and supports mounting multiple distinct MCP servers within a single FastAPI application, enabling modular and scalable integration of external capabilities into AI-driven workflows.
Key Features
01Expose tools and functions over HTTP using the MCP protocol
020 GitHub stars
03Connect tools to AI assistants like Cursor
04Utilize streamable HTTP for data transport
05Mount multiple MCP servers in a FastAPI application
06Debug servers using the MCP Inspector CLI
Use Cases
01Integrating custom business logic and data sources with AI chatbots
02Providing real-time external capabilities to AI agents
03Developing scalable tool servers for large language model applications
