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- gh-mcp-server
Gh Mcp Server
What is Gh Mcp Server
gh-mcp-server is a Model Context Protocol (MCP) server that allows AI models to access GitHub repository contents as context. It provides tools for fetching file contents, repository structure, and entire repositories for use in AI interactions.
Use cases
Use cases include fetching repository structures for understanding project layouts, retrieving specific file contents for code review, and integrating with AI models to enhance their capabilities with real-time repository data.
How to use
To use gh-mcp-server, clone the repository, install dependencies, and build the project. Set up GitHub authentication by creating a personal access token and configuring it in your environment. Integrate it with Cursor by adding a new MCP server with the appropriate command.
Key features
Key features include fetching entire repository contents, retrieving specific file contents, obtaining repository structure, filtering files by extension, excluding specific paths, and limiting the number of files returned.
Where to use
gh-mcp-server can be used in AI applications that require access to GitHub repositories for context, such as code analysis, documentation generation, and automated testing.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Gh Mcp Server
gh-mcp-server is a Model Context Protocol (MCP) server that allows AI models to access GitHub repository contents as context. It provides tools for fetching file contents, repository structure, and entire repositories for use in AI interactions.
Use cases
Use cases include fetching repository structures for understanding project layouts, retrieving specific file contents for code review, and integrating with AI models to enhance their capabilities with real-time repository data.
How to use
To use gh-mcp-server, clone the repository, install dependencies, and build the project. Set up GitHub authentication by creating a personal access token and configuring it in your environment. Integrate it with Cursor by adding a new MCP server with the appropriate command.
Key features
Key features include fetching entire repository contents, retrieving specific file contents, obtaining repository structure, filtering files by extension, excluding specific paths, and limiting the number of files returned.
Where to use
gh-mcp-server can be used in AI applications that require access to GitHub repositories for context, such as code analysis, documentation generation, and automated testing.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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:
- Open Cursor Settings
- Search for “MCP”
- Click on “Add a new MCP Server”
- Enter the following information:
- Name: github-repo-context (or any name you want)
- Type: Command
- Command: /path/to/your-local-repo-setup/gh.sh
- Click “Save”
- Enable the server by clicking the toggle next to the server name
- 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:
-
get-repo-context: Get all files from a GitHub repository to use as context
- Parameters:
owner: GitHub repository owner/organization namerepo: GitHub repository namemaxFiles(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’])
- Parameters:
-
get-file-content: Get content of a specific file from a GitHub repository
- Parameters:
owner: GitHub repository owner/organization namerepo: GitHub repository namepath: Path to the file in the repository
- Parameters:
-
get-repo-structure: Get the structure of a GitHub repository
- Parameters:
owner: GitHub repository owner/organization namerepo: GitHub repository name
- Parameters:
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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










