GitHub MCP Server Test Repository
About
The GitHub MCP (Model Context Protocol) Server enables AI-assisted development tools like GitHub Copilot to access and understand GitHub repositories and their contexts. It acts as a bridge between AI assistance tools and your GitHub repositories, providing repository metadata…
Explore
- Repository Context: Provides AI assistants with access to repository metadata, files, issues, and pull requests
- Semantic Understanding: Allows AI tools to comprehend code structures and relationships within repositories
- Docker-Based Deployment: Runs as a containerized service for easy setup and consistency
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
GitHub MCP Server Test RepositoryCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
To set up the GitHub MCP Server in VS Code:
1. Install Docker on your system
2. Configure VS Code settings.json with the MCP server configuration:
"mcp": {
"servers": {
"github": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GITHUB_PERSONAL_ACCESS_TOKEN",
"ghcr.io/github/github-mcp-server"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "your-github-personal-access-token"
}
}
}
}
3. Start Docker and ensure it's running before using GitHub Copilot features
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"github mcp server test repository": {
"github": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GITHUB_PERSONAL_ACCESS_TOKEN",
"ghcr.io/github/github-mcp-server"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": ""
}
}
}
}
}
McpServers
{
"github": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GITHUB_PERSONAL_ACCESS_TOKEN",
"ghcr.io/github/github-mcp-server"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": ""
}
}
}
This repository is created to test the GitHub Model Context Protocol (MCP) Server integration with VS Code.
What is GitHub MCP Server?
The GitHub MCP (Model Context Protocol) Server is a specialized server that enables AI-assisted development tools like GitHub Copilot to access and understand GitHub repositories and their contexts. It acts as a bridge between AI assistance tools and your GitHub repositories.
Key Features
- Repository Context: Provides AI assistants with access to repository metadata, files, issues, and pull requests
- Semantic Understanding: Allows AI tools to comprehend code structures and relationships within repositories
- Docker-Based Deployment: Runs as a containerized service for easy setup and consistency
Setup Instructions
To set up the GitHub MCP Server in VS Code:
1. Install Docker on your system
2. Configure VS Code settings.json with the MCP server configuration:
"mcp": {
"servers": {
"github": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GITHUB_PERSONAL_ACCESS_TOKEN",
"ghcr.io/github/github-mcp-server"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "your-github-personal-access-token"
}
}
}
}
3. Start Docker and ensure it's running before using GitHub Copilot features
Benefits
- Enhanced code understanding for AI assistants
- More relevant suggestions based on repository context
- Improved collaboration between developers and AI tools
- Access to GitHub-specific features directly within your editor
Security Considerations
- The MCP server requires a GitHub Personal Access Token with appropriate permissions
- All communication between VS Code and the MCP server is secure
- The server runs locally in a Docker container for added isolation
---
This repository serves as a demonstration of GitHub MCP Server functionality.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.



