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
基本信息
MCP (Model Context Protocol) client for GitHub Multi-User Server with Claude integration. Interactive chat interface for GitHub operations using natural language.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"github-mcp-sse-devendershekhawat": {
"command": "python",
"args": [
"test_gmu_connection.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project
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A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow tra
Interact seamlessly with GitLab repositories to manage merge requests and issues. Fetch details, add comments, and streamline your code review process with ease.
A Model Context Protocol (MCP) server that helps read GitHub repository structure and important files.
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