Production Server
byJimdrews
0Provides a production-ready, extensible template for building Model Context Protocol (MCP) async servers in Python.
About
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
- Modular architecture with support for tools, resources, and prompts
- Multiple transport options including stdio, SSE, and streamable HTTP
- Production-ready with comprehensive logging, error handling, and Docker support
- Integrated JWT authentication with RS256 encryption and JWKS URI support
- Fully configurable via environment variables for flexible deployment
- 0 GitHub stars
Use Cases
- Building production-grade Model Context Protocol (MCP) servers
- Developing AI applications requiring secure, authenticated MCP server backends
- Deploying scalable MCP services with flexible transport options for web or direct client connections
Sponsored