A foundation for building custom local Model Context Protocol (MCP) servers that provide tools accessible to AI assistants like Cursor or Claude Desktop.
A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.
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.
A template repository for building Model Context Protocol (MCP) servers that enable LLM clients to interact with custom tools and services through standardized JSON-RPC communication.
A production-ready Model Context Protocol server built with Python and FastMCP, featuring modular architecture, centralized tool registration, Docker support, and a suite of utility tools for AI applications.
A FastAPI-style framework for building MCP servers in Python, enabling declarative tool definitions with automatic schema validation and multiple transport options.