What should I do if the container is not running?
Start the Docker container with `docker-compose up -d`. Verify with `docker ps | grep github-mcp-server-multiuser`.
@devendershekhawat
Basic information
MCP (Model Context Protocol) client for GitHub Multi-User Server with Claude integration. Interactive chat interface for GitHub operations using natural language.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"github-mcp-sse-devendershekhawat": {
"command": "python",
"args": [
"test_gmu_connection.py"
]
}
}
}Tool list not available yet
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
This is an MCP (Model Context Protocol) client that connects to the GitHub Multi-User Server (GMU) running in Docker. It provides an interactive interface for GitHub operations powered by Claude, using per-user GitHub Personal Access Tokens for authentication.
Install dependencies with uv add mcp anthropic python-dotenv, create a .env file with GITHUB_TOKEN and ANTHROPIC_API_KEY, start the GMU server with docker-compose up -d, then run python test_gmu_connection.py to verify or python tests/test_gmu.py for the interactive chat client.
Start the Docker container with `docker-compose up -d`. Verify with `docker ps | grep github-mcp-server-multiuser`.
Add `GITHUB_TOKEN=ghp_your_token` and `ANTHROPIC_API_KEY=sk-ant_your_key` to a `.env` file in the project root. The client will also prompt for a token if not set in the environment.
Python 3.13+, Docker & Docker Compose, a GitHub Personal Access Token, and an Anthropic API key for Claude integration.
All GitHub API data stays on GitHub. Each request includes a per-request `auth_token` parameter for multi-user support. The MCP client connects to the GMU server via `docker exec`.
The latest version includes robust handling of MCP content types to prevent serialization errors. Ensure you have the latest code.
This MCP server provides integration with Gerrit code review system, allowing AI assistants to review code changes and their details through a simple interface.

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