Code Review

32

Enables automated code reviews through multiple LLM providers by analyzing repository structures and evaluating code for security, performance, quality, and maintainability with structured output containing issues, strengths, and recommendations.

Category Models
Added Mar 28, 2026
Views 51

About

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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