🤖 Model Context Protocol (MCP) Examples

What is 🤖 Model Context Protocol (MCP) Examples?

🤖 Model Context Protocol (MCP) Examples is a collection of modular, self-contained MCP servers built with the Model Context Protocol TypeScript SDK. Each server in src/ provides tools and prompts for tasks such as code analysis and summarization. It is intended for developers building agent-based applications using the Model Context Protocol.

How to use 🤖 Model Context Protocol (MCP) Examples?

Install dependencies with npm install, optionally create a .env file with PORT=3000, then start the server using npm run dev. The server runs at http://localhost:3000/mcp. For debugging, run npm run debug and connect with MCP Inspector at http://localhost:6274.

Key features of 🤖 Model Context Protocol (MCP) Examples

• Modular, self-contained MCP servers per task
• Dynamic registration and launching from a single entry point
• Built with the Model Context Protocol TypeScript SDK
• Includes a code analysis server (local repo tree + content)
• Supports Streamable HTTP transport on port 3000
• Debuggable via MCP Inspector UI

Use cases of 🤖 Model Context Protocol (MCP) Examples

• Analyze local code repositories to extract structure and file contents
• Build custom MCP agents for summarization or other text tasks
• Prototype and test MCP-based tools using the provided scaffold

FAQ from 🤖 Model Context Protocol (MCP) Examples

How do I install and start the server?

Run npm install to install dependencies, then npm run dev to start the server at http://localhost:3000/mcp.

What transport does the server use?

The server uses Streamable HTTP on localhost:3000/mcp by default.

How can I debug or test the server?

Use MCP Inspector by running npm run debug, then connect to the server from the Inspector UI at http://127.0.0.1:6274.

What runtime dependencies are required?

Node.js and npm are required; all other dependencies are installed via npm install. No external API keys or services are mentioned.

What license does this project use?

The project is licensed under the MIT License.