A foundation for building custom local Model Context Protocol (MCP) servers that provide tools accessible to AI assistants like Cursor or Claude Desktop.
A minimal Python package for easily setting up and running MCP servers and clients, allowing functions to be automatically exposed as tools that LLMs can use with just 2 lines of code.
Enables building and running MCP servers over streamable HTTP, exposing tools to AI assistants like Cursor, with examples of mounting multiple servers in FastAPI.
A Python framework for building MCP servers that makes it simple to expose application data and actions to AI clients like Claude Desktop, Cursor, and VS Code through the Model Context Protocol. It wraps protocol handling behind a clean, decorator-based API allowing focus on business logic.