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.
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Highlight AIFlattens a codebase using Repomix to provide a high-level overview of a codebase's structure and organization. It prepares the repository for a more in-depth code review.
Performs a comprehensive code quality assessment using an LLM. It identifies specific security vulnerabilities, performance bottlenecks, or code quality issues, and provides actionable recommendations for improving the code.
