Diffgate MCP server acts as a code review engine, enabling AI coding agents to analyze and validate code diffs before application. It enhances AI workflows by providing self-checking capabilities to optimise and secure code changes.
MCP server that produces scored, evidence-cited audits of public GitHub repos via tools for fetching metadata, reading files, scanning git history, and checking hygiene.
Analyzes repositories, explains architecture, calculates change impact, and enforces guardrails for AI Agents like Claude Code, Cursor, and Codex via MCP tools.
Analyzes codebases to produce structured quality health reports with risk-scored modules based on git churn, test coverage, and test-to-source mapping, acting as an MCP server for AI coding agents and a standalone CLI.
PHP static analysis MCP server with 11 tools for querying 60+ code quality metrics, detecting problems (God Class, dependency cycles, SOLID violations), analyzing dependencies, identifying refactoring priorities, and mapping test coverage — all from live analysis data.
MCP server for persistent code exploration and diff-aware review, exposing explore and review tools to map call paths, blast radius, and generate explainable risk-scored reports.
