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 FastMCP-based server providing tools for weather queries, random number generation, and real-time stock market data retrieval. It enables AI models to interact with external data and perform specific tasks through the Model Context Protocol.
A Model Context Protocol server implementation built with FastAPI that enables AI agent interactions. Provides a structured foundation for building AI-powered applications with proper data validation and modern Python tooling.
A Model Context Protocol server that enables AI assistants to make HTTP requests (GET, POST, PUT, DELETE) to external APIs through standardized MCP tools.