mcpField
G
GitHub Repository MCP Server

GitHub Repository MCP Server

Local
github.com/shanksxzVersion Control2Updated 79w ago

About GitHub Repository MCP Server

GitHub Repository MCP Server gives AI models repository files and structure as context. It supports whole-repository retrieval with filters for extensions, excluded paths, and file count.

Key features

  1. 01Fetch repository contents
  2. 02Read a specific file
  3. 03List repository structure
  4. 04Filter by extension and path
  5. 05Limit returned files

Use cases

  1. 01Provide repository context to an AI model
  2. 02Inspect a repository’s file layout
  3. 03Retrieve selected files for analysis

MCP support

It exposes tools to MCP clients for retrieving GitHub repository contents, individual files, and repository structure.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

GitHub Repository MCP Server

This Model Context Protocol (MCP) server allows AI models to access GitHub repository contents as context. It provides tools to fetch file contents, repository structure, and entire repositories for use as context in AI interactions.

Features

  • Fetch entire repository contents as context
  • Get specific file contents from a repository
  • Get repository structure (file listing)
  • Filter files by extension
  • Exclude specific paths
  • Limit the number of files returned

Installation

# clone the repository
git clone https://github.com/shanksxz/github-mcp.git
cd github-mcp

# install dependencies
npm install

# build the project
npm run build

Usage

Setting up GitHub Authentication

While the server can work with public repositories without authentication, GitHub API has strict rate limits for unauthenticated requests (60 requests/hour). To increase this limit to 5000 requests/hour, set the GITHUB_TOKEN environment variable:

# create a file called gh.sh and add the following line:
export GITHUB_TOKEN=your_github_personal_access_token
# make the file executable
chmod +x gh.sh
# run the file
./gh.sh

You can create a personal access token in your GitHub Developer Settings.

Using with Cursor

To use this server with Cursor follow these steps:

  1. Open Cursor Settings
  2. Search for "MCP"
  3. Click on "Add a new MCP Server"
  4. Enter the following information:
    • Name: github-repo-context (or any name you want)
    • Type: Command
    • Command: /path/to/your-local-repo-setup/gh.sh
  5. Click "Save"
  6. Enable the server by clicking the toggle next to the server name
  7. You should now be able to use the server in your project

The server communicates via stdin/stdout following the MCP protocol.

Available Tools

The server provides the following tools:

  1. get-repo-context: Get all files from a GitHub repository to use as context

    • Parameters:
      • owner: GitHub repository owner/organization name
      • repo: GitHub repository name
      • maxFiles (optional): Maximum number of files to include (default: 50)
      • fileExtensions (optional): File extensions to include (e.g., ['js', 'ts', 'md'])
      • excludePaths (optional): Paths to exclude (default: ['node_modules', 'dist', 'build'])
  2. get-file-content: Get content of a specific file from a GitHub repository

    • Parameters:
      • owner: GitHub repository owner/organization name
      • repo: GitHub repository name
      • path: Path to the file in the repository
  3. get-repo-structure: Get the structure of a GitHub repository

    • Parameters:
      • owner: GitHub repository owner/organization name
      • repo: GitHub repository name

Example

When integrated with an AI model that supports MCP, you can use commands like:

Get the structure of the repository tensorflow/tensorflow

The AI would then use the get-repo-structure tool to fetch and display the repository structure.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.