Containerizes Python MCP servers for production-ready remote deployment using SSE or streamable-http transports.
This skill streamlines the process of moving Model Context Protocol (MCP) servers from local development to production environments. It provides standardized templates and logic for dockerizing both FastMCP and low-level SDK servers, handling complex networking requirements like SSE transport, nginx reverse proxying, and stateless session management. It is an essential utility for developers looking to host custom MCP tools on remote infrastructure with automated versioning and container registry publishing.
主要功能
011 GitHub stars
02Support for both SSE and streamable-http remote transport protocols
03Secure non-root user execution and private pip dependency handling
04Pre-configured nginx reverse proxy setups for reliable SSE streaming
05Automated versioning and publishing scripts for GHCR and other registries
06Standardized Dockerfile generation for Python 3.13-slim environments
使用场景
01Setting up CI/CD pipelines for automated MCP server deployment and updates
02Containerizing FastMCP servers for high-availability production environments
03Deploying internal MCP tools to a centralized cloud server for team access
