An MCP server that provides local code quality analysis for AI coding assistants, supporting file analysis, git diff review, and full project scanning with quality scoring.
An MCP server that transforms repositories into queryable knowledge by combining static code analysis with git history tracking. It allows users to investigate codebase structure, identify fragile files based on churn, and receive risk assessments through natural language queries.
MCP server for test impact analysis and code intelligence. Maps tests to code and git history to determine impacted tests, risk scores, and ownership for AI coding agents.
Analyzes repositories, explains architecture, calculates change impact, and enforces guardrails for AI Agents like Claude Code, Cursor, and Codex via MCP tools.