Provides a production-ready, extensible template for building Model Context Protocol (MCP) async servers in Python.
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The Production Server is a robust, extensible template designed to streamline the development of Model Context Protocol (MCP) async servers in Python. It offers a modular architecture for managing tools, resources, and prompts, alongside integrated JWT authentication for secure access. With support for multiple transports like stdio, SSE, and streamable HTTP, and comprehensive environment configuration, it ensures flexible deployment and production readiness for AI-driven applications.
Key Features
01Modular architecture with support for tools, resources, and prompts
02Multiple transport options including stdio, SSE, and streamable HTTP
03Production-ready with comprehensive logging, error handling, and Docker support
04Integrated JWT authentication with RS256 encryption and JWKS URI support
05Fully configurable via environment variables for flexible deployment
060 GitHub stars
Use Cases
01Building production-grade Model Context Protocol (MCP) servers
02Developing AI applications requiring secure, authenticated MCP server backends
03Deploying scalable MCP services with flexible transport options for web or direct client connections
