Analyzes local Git repositories to provide detailed insights into commit statistics, contributor activity, and frequently changed files. It allows users to query repository history and access structured activity data through the Model Context Protocol.
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.
Enables analysis of local Git repositories via standard git commands, providing insights like line authorship, commit frequency, code churn, and co-changed files.
Provides AI coding agents with structured Git repository context including project state, code structure, activity, and risk analysis without modifying or uploading code.