# Code Review

A GitHub code review server based on the Model Context Protocol that provides automated code review services for Pull Requests by integrating OpenRouter's AI models.

A TypeScript - based MCP server for fetching random LGTM (Looks Good To Me) images, suitable for developer communication scenarios such as code reviews.

The MAGI MCP Server is a server implementation of a code review system based on the Model Context Protocol (MCP), providing standardized interfaces for code submission and review processes, and supporting multi - agent reviews and majority decision - making mechanisms.

The GitHub PR Helper is a tool based on the GitHub CLI that provides PR creation and code review functions

The GitHub Code Review MCP service is a code review tool based on Claude AI, providing automated code review, security vulnerability scanning, performance analysis, etc. for GitHub repositories, and supporting integration with the MCP protocol.

AI development assistant toolkit that provides code architecture, screenshot analysis, code review, and file reading functions

A production-level MCP server integrated with the DeepSeek API, providing functions such as code review, file management, and API account management, supporting multi-model selection and JSON-formatted responses.

The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.

Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.

A multi-agent debate framework based on the MCP protocol for code review and debate planning. It conducts code reviews by executing multiple AI agents (such as Claude and Codex) in parallel, uses a deterministic scoring system (P0/P1/P2 severity classification) and platform-specific rules, and finally merges the results to generate a review report.

This project builds a bridge between Claude Code and Google Gemini AI, enabling direct calls to Gemini in the Claude Code environment for Q&A, code review, and creative brainstorming, providing a convenient AI collaboration tool.

The AI Development Assistant MCP Server is an AI - based code development toolkit that provides functions such as code architecture generation, UI screenshot analysis, and code review, specifically designed for Cursor.

A code review tool designed for Cursor IDE, which uses OpenAI's GPT model to provide intelligent code analysis and suggestions.

Corbat MCP is an AI coding standards server that injects team coding specifications before the AI generates code through the MCP protocol, ensuring that the generated code meets production standards, security requirements, and passes the code review. It supports multiple programming languages and development tools.

An MCP server based on Gemini, providing code review, analysis, documentation generation, and logic verification functions, supporting 13 tools such as PR review, code smell detection, and complexity analysis.

An automated code documentation generation tool based on the OpenRouter API that intelligently generates documentation, test plans, and code review reports by analyzing the codebase structure and content.

A code review server based on the MCP protocol, providing structured code analysis services using Repomix and LLMs technology

An AI-based code review tool for GitLab merge requests that uses Anthropic's Claude model to automatically analyze code quality, style, and security issues and provides review suggestions.

An Azure code review server project based on TypeScript

An MCP server tool that simulates the tone of senior developers for code review

An MCP server for interacting with GitHub pull requests

aica is an open - source, customizable, cross - platform AI code analysis tool that supports functions such as code review, automatic knowledge retrieval, and commit information generation, and can be integrated with GitHub Actions.

A Ruby-based AI pair programming MCP server that provides AI-assisted programming functions such as code review, brainstorming, performance analysis, and security check through OpenRouter.

An MCP server project that provides a service for automatically selecting the OpenAI O3 or Google Gemini 2.5 Pro model based on the number of tokens, supports recursive embedding of file paths in prompts, and is suitable for code review and solving complex problems.

An MCP server integrated with an AI code editor that optimizes Cursor's proxy capabilities through the million - token context window of Gemini 2.5 and task management features.

A Cursor plugin tool that automatically generates Git differences and performs code reviews based on the MCP protocol, supporting GitHub PR review and Notion integration.

A server implementing the MCP protocol that connects Cursor via the OpenRouter API, providing code review and AI chat functions, supporting multi-language project analysis and context processing.

A GitHub PR code review tool based on Cursor AI that automatically performs static analysis, security scans, and tests through the local toolchain and generates Markdown reports.

A multi-model AI code review and analysis server based on the Model Context Protocol. It supports the parallel execution of code quality checks, security analysis, and multi-agent consensus reviews by multiple AI models such as OpenAI, Anthropic, and Google Gemini.

A Python - based code review system that integrates the programming principles of Martin Fowler and Robert C. Martin and provides AI - assisted code review services.