Provides comprehensive Git repository insights including author statistics, branch health, and code churn analysis. It enables users to perform data-driven assessments of their codebase and track development patterns through the Model Context Protocol.
Enables analysis of local Git repositories via standard git commands, providing insights like line authorship, commit frequency, code churn, and co-changed files.
Analyzes git repository metrics to understand team health, development patterns, code quality, and collaboration through natural language queries. Provides insights on commit statistics, bus factor, velocity trends, technical debt, and burnout detection.
Provides AI coding agents with structured Git repository context including project state, code structure, activity, and risk analysis without modifying or uploading code.
Enables Claude to inspect, analyze, and grade local Git repositories with tools for stats, TODO scanning, git history, large file detection, health scores, and tech stack fingerprinting.