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 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.

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 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

This project is an MCP server integrated with the Gerrit code review system, providing functions such as fetching change details and comparing patch set differences to assist AI assistants in code review.

AIM Guard MCP is an AI security protection server that provides security analysis, content review, and protection instructions for AI agents to ensure the security of AI when interacting with various MCP services.

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.

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

AI code review and issue repair agent for analyzing codebases, detecting security vulnerabilities, reviewing code quality, and providing repair suggestions based on Sentry error logs.

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 for GitLab code review that enables AI assistants to review merge requests via the GitLab API, providing complete change analysis, file difference comparison, and review management functions.

The GitHub MCP server provides AI-assisted tools such as code review, PR analysis, and security detection, and supports local and Docker deployment.

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.

Unichat MCP Server is a multi-model chat protocol server implemented in TypeScript, which supports sending requests to AI providers such as OpenAI and MistralAI through the MCP protocol and provides preset prompt functions such as code review and document generation.

CodeRAG is a tool that transforms codebases into intelligent knowledge graphs. It builds a code structure diagram through Neo4J, supports multi - language analysis, provides code quality metrics and AI integration, and helps with code review, architecture analysis, and refactoring.

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

The code review MCP server based on Gemini CLI provides structured code review functions for AI assistants by automatically collecting local code differences and static analysis results.

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.

The GitLab MCP service is an AI tool for automated code review analysis, supporting obtaining repository commit records, viewing commit differences, and exporting review results.

This project contains the configuration of custom commands for Claude code, used to standardize the interaction with the AI agent and provide functions such as code analysis, documentation generation, and security review.

The SEO Review Tools MCP Server provides advanced SEO data integration for applications and AI agents through the Model Context Protocol (MCP), supporting natural language interaction to access massive SEO data endpoints.

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.

The SEO Review Tools MCP server provides a natural language interaction method for LLM and AI tools through the Model Context Protocol (MCP), integrating massive SEO data interfaces, including over 3.1T backlinks, 7B+ keywords and other resources.

GitLab-MCP-Server is a model context protocol server integrated with GitLab, providing functions to retrieve pipeline failure information, merge request comments, and change content to assist AI assistants in code review and issue repair.

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 project provides rankings and user reviews of MCP servers to help users distinguish between high - quality and poor - quality MCP AI agent services.

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 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.

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.

The Unichat MCP Server is a Python server that supports sending requests to multiple AI providers such as OpenAI and MistralAI via the MCP protocol, providing preset prompt functions such as code review and document generation.

The gotoHuman MCP Server is a service that allows AI agents to request human review through MCP, supporting asynchronous workflows and automated approvals.