This MCP server showcases tutorials around Model Context Protocol (MCP) using the chenmingyong0423-mcp-tutorials repository as the source. It exposes endpoints that allow clients to retrieve MCP-related tutorials, concepts, and code snippets demonstrated in the articles. You can use the server to fetch structured tutorial data, search for topics like MCP basics, MCP protocol updates, and language-specific implementations (Go, HTTP/Streamable HTTP, etc.), and experiment with examples directly in your environment. The tooling is designed to help you understand MCP concepts through practical, tutorial-oriented content, making it convenient to integrate MCP interactions into your own LLM workflows and tooling.

Prerequisites:

• Node.js (LTS version) and npm installed
• Access to the repository containing the MCP tutorials

Install and run:

1. Clone the repository: git clone https://github.com/chenmingyong0423/mcp-tutorials.git cd mcp-tutorials

2. Install dependencies (if a package.json exists): npm install

3. Start the MCP server: npm start

   or if using the explicit node entrypoint:

   node server.js

4. Verify the server is running (default port 3000): curl http://localhost:3000/health

Note: If the project uses a different entry file or custom scripts, adjust the commands accordingly (e.g., npm run dev, or python -m module). Ensure any required environment variables (see mcp_config) are set before starting the server.

Tips and common issues:

• Ensure Node.js version aligns with the project requirements. Some tutorials may rely on features from newer Node.js releases.
• If the server fails to start due to port in use, set MCP_PORT to an available port (e.g., 4000) and restart.
• For production deployments, consider setting a proper log level (MCP_LOG_LEVEL) and enabling basic health checks.
• If there is no server.js or package.json in the repository, adapt the mcp_config to the actual entry point (e.g., a Python uvx/uv-based server or a Docker-based run).
• The server exposes endpoints to fetch tutorial metadata and content; ensure your MCP client can interpret the response shapes (e.g., JSON with title, slug, and content).