# Code review

A code review server based on the MCP protocol that uses Repomix and large language models to perform structured analysis of code and provide review suggestions.

The MCP service for Bitbucket Server provides tools for managing pull requests through the MCP protocol, including functions such as creating, merging, and commenting.

A developer helper tool named COCO that provides code review and pair programming assistance functions, and can help developers improve code quality through questions.

MCP GitLab server extension that provides comment and review functions for merge requests, including obtaining request information, the latest version, and submitting comments.

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.

The PR Reviewer project is a tool that integrates GitHub and Notion for automated code review and project management.

Yellhorn MCP is a model context protocol server that provides full codebase context support for code assistants by integrating the capabilities of Gemini and OpenAI, enabling development task planning, code review, and isolated environment creation.

The MCP Probe Kit is a powerful development toolset that provides 23 practical tools, covering the entire process of code quality detection, development efficiency improvement, and project management. It is specifically designed for Cursor AI to help developers improve development efficiency and quality.

An extension of the MCP GitLab server that provides a comment function for merge requests.

SecureAnnex MCP Server is a tool for analyzing the security of browser extensions, providing functions for querying, analyzing, and evaluating the security of extensions, including vulnerability detection, signature check, code review, etc.

Project summary

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.

GitLab MR MCP is a service based on the Model Context Protocol (MCP), which provides the ability for AI agents to interact with GitLab repositories, including managing merge requests, viewing code differences, adding comments, and other functions.

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

An MCP server project based on Joern, providing code review and security analysis functions.

An MCP server integrated with GitLab, providing functions to obtain failed pipeline logs, merge request comments, and code changes to enhance the development support capabilities of AI assistants.

A lightweight, configurable MCP server for development teams to obtain externally hosted coding specifications, security rules, and validation patterns.

An MCP server that allows Claude Code to consult more powerful AI models (such as o3, Gemini 2.5 Pro, DeepSeek Reasoner) when in need of in - depth analysis of complex problems.