Code Review Server is an MCP implementation that enables AI assistants to perform automated code reviews using multiple LLM providers (OpenAI, Anthropic, Gemini). It integrates with Repomix to flatten repository structures for analysis, then processes the code through configurable LLM prompts focused on security, performance, quality, and maintainability. The server exposes tools for repository analysis and code review with structured output containing issues, strengths, and recommendations, making it valuable for developers seeking AI-powered code quality assessment without leaving their assistant interface.
Cognium trust score
83%
Tier
Verified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-19.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.