@anupj
基本信息
An example to demonstrate how to build and run an MCP server
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This project demonstrates how to implement the Model Context Protocol (MCP) to create a GitHub code search tool that could be used by AI assistants. MCP standardizes how AI models interact with external tools, defining function descriptions, invocation decisions, parameter validation, and result formatting.
Clone the repository, install dependencies with npm install, optionally set the GH_TOKEN environment variable for higher rate limits, then start the server with npm start (or npm run dev for auto-reload). Open http://localhost:3000 in a browser, click “Load Available Functions” to see the API capabilities, and type a query to simulate an AI conversation.
GET /api/mcp/functions)It is a standardized way for AI models to interact with external tools and services. It defines how functions are described, how models decide which functions to call, how parameters are structured and validated, and how results are returned in a consistent format.
Node.js and npm are required. After cloning the repository, run `npm install` to install dependencies. A GitHub API token is optional but recommended for higher rate limits.
Set the environment variable `GH_TOKEN` to your personal access token before starting the server. This is optional and used to increase rate limits.
Two endpoints are exposed: `GET /api/mcp/functions` lists all available function definitions, and `POST /api/mcp` calls a function with provided parameters. The application also includes a browser‑based client for simulation.
No, the README describes it as a demonstration of implementing the Model Context Protocol to create a GitHub code search tool. It is not presented as a production‑grade service.
This MCP server provides integration with Gerrit code review system, allowing AI assistants to review code changes and their details through a simple interface.
Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).
Learn how to use MCP Servers with GitHub Copilot
MCP server that enables AI assistants to interact with Linear project management system through natural language, allowing users to retrieve, create, and update issues, projects, and teams.
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from https://github.com/nguyenvanduocit/all-in-one-model-context-protocol
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