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This project provides a lightweight server implementation for the Model Context Protocol (MCP) over HTTP. It enables developers to expose Python functions as 'tools' that can be discovered and executed remotely through a JSON-RPC interface. Designed for seamless integration with Starlette or FastAPI applications, it facilitates the creation of robust and type-safe tool endpoints for various remote execution scenarios, including those driven by AI agents.

Características Principales

• Integrated code quality tools including Ruff, Mypy, and uv
• Type-safe data validation and serialization leveraging Pydantic
• MCP Protocol Compliant for tool discovery and execution
• 0 GitHub stars
• HTTP Transport for communication via POST requests
• Asynchronous request handling with Starlette/FastAPI support

Casos de Uso

• Facilitating remote procedure calls (RPC) for Python-based functionalities over HTTP
• Exposing Python functions as remote tools for AI agents or other clients
• Integrating Model Context Protocol capabilities into existing Starlette or FastAPI web applications