MCP Tool for GitHub

What is MCP Tool for GitHub?

The MCP Tool for GitHub helps manage and track model context in GitHub repositories, allowing users to document model versions, datasets, metrics, and training configurations.

How to use MCP Tool for GitHub?

Clone the repository, create a virtual environment, install mcp[cli], then run mcp dev main.py to start the server. Prerequisites include Python 3.7+, git, and pip.

Key features of MCP Tool for GitHub

• Track model versions
• Manage dataset information
• Record performance metrics
• Document training configurations
• Seamless GitHub integration

Use cases of MCP Tool for GitHub

• Tracking model versions across commits in a GitHub repo
• Documenting datasets used for each experiment
• Recording performance metrics alongside model code
• Maintaining training configuration history per project

FAQ from MCP Tool for GitHub

What are the prerequisites for MCP Tool for GitHub?

Python 3.7+, git, and pip are required.

How do I install MCP Tool for GitHub?

Clone the repository, run uv init, activate the virtual environment with ./venv/Scripts/activate, then install with pip install "mcp[cli]".

How do I run MCP Tool for GitHub?

Use the command mcp dev main.py in the project directory.