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.
High-performance Model Context Protocol server supporting multiple LLM providers (OpenRouter, OpenAI, Groq) with WebSocket API and conversation history persistence.
A minimal, general-purpose implementation of the Model Context Protocol (MCP) for Node.js and Bare runtime, enabling creation of AI-interactive servers with tools, resources, and multiple transport options.
A high-performance Model Context Protocol (MCP) server designed for large language models, enabling real-time communication between AI models and applications with support for session management and intelligent tool registration.
Reference implementation of a Model Context Protocol server for integrating external APIs as agent tools. Includes built-in tools for weather, database queries, web search, and calculations, with authentication, rate limiting, and logging.
A foundation layer for building production-grade Model Context Protocol (MCP) servers with base classes, documentation, and consistent implementation patterns.
