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Github MCP Server

by MCP-Mirror

The Github MCP Server provides integration with Github through the Model Context Protocol (MCP), enabling Large Language Models (LLMs) to interact with Github. It allows LLMs to search and retrieve information from Github repositories, issues, pull requests, and more.

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What is Github MCP Server?

This server is a Model Context Protocol (MCP) server that allows LLMs to interact with Github. It exposes a set of tools that allow LLMs to search repositories, issues, commits, code, users, topics, and labels, as well as retrieve specific issues and pull requests.

How to use Github MCP Server?

To use this server, you need to create a Github personal access token and configure it in the Claude Desktop configuration file. Then, you can use the provided tools by calling them with the appropriate inputs from your LLM. Example prompts are provided in the README.

Key features of Github MCP Server

  • Search repositories, issues, commits, code, users, topics, and labels

  • Retrieve specific issues and pull requests

  • Integration with Github through MCP

  • Allows LLMs to interact with Github

Use cases of Github MCP Server

  • Answering questions about Github repositories

  • Finding relevant issues or pull requests

  • Searching for specific code snippets

  • Identifying users or topics related to a project

FAQ from Github MCP Server

What is MCP?

MCP stands for Model Context Protocol. It's a protocol that allows LLMs to interact with external tools and services.

How do I get a Github personal access token?

You can create a personal access token in your Github account settings. Refer to the provided guide in the README.

Where do I configure the server?

You need to add the server configuration to the Claude Desktop configuration file. The location of this file depends on your operating system.

What are the required inputs for each tool?

The required inputs for each tool are listed in the Components section of the README.

How do I run the server locally for development?

You can run the server locally by following the development instructions in the README, which include installing dependencies, configuring the access token, and running the development script.