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.
Flattens a codebase using Repomix to provide a high-level overview of its structure and organization.
Performs a comprehensive code quality assessment, identifying specific security vulnerabilities, performance bottlenecks, and providing actionable recommendations for improvement. Parameters include specificFiles, fileTypes, detailLevel, and focusAreas.
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Highlight AIOur bundler currently only supports TypeScript-based servers. Check back soon!