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by rajpanjabi • Documentation & Docs
A lightweight MCP server exposing simple GitHub utilities (repository summary and recent commits) for AI agents and orchestrators.
Fetch repository metadata (description, stars, forks, primary language, open issues, last updated) for summarization or decision-making.
Retrieve the most recent commit messages and authors to generate changelogs, surface recent activity, or assist code-review workflows.
An MCP-compatible, stdio-run tool to integrate GitHub data into agent orchestrators like Claude Desktop or Cursor.
This project provides a small MCP (Model Context Protocol) server that lets AI applications query GitHub repositories for basic metadata and recent commits. It exposes two simple tools: get_repo_summary and get_recent_commits, and runs in stdio mode to integrate with MCP-compatible orchestrators like Claude Desktop or Cursor. It requires Python 3.10+, can use an optional GitHub Personal Access Token to avoid rate limiting, and is intended to be easy to install and run locally.
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