# Code Review

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.

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

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.

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

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.

A document query MCP server based on the Gemini API, providing intelligent Q&A services for technical documents.

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.

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.

An MCP server built on TypeScript for analyzing GitHub pull requests.

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.

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.

This is an AI Development Assistant MCP Server project that provides intelligent coding assistance tools, including code architecture generation, UI screenshot analysis, and code review functions. It is mainly used for tutorial demonstrations rather than production environments.

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.

The GitHub Code Review Assistant MCP Server provides intelligent tools to analyze PR code patterns, propose improvement suggestions, check compliance with team standards, and support a complete code review workflow.

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.

The MCP protocol service for Bitbucket Server, providing Pull Request management functions

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.

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.

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.

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.

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

An MCP server for interacting with GitHub pull requests

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

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.

An Azure code review server project based on TypeScript

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.

An AI mentor server based on the Model Context Protocol, providing second opinion services such as code review, design evaluation, writing feedback, and creative brainstorming through Deepseek-Reasoning

An MCP server for obtaining change information of GitHub pull requests and creating Notion analysis summary pages.