# Code review

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.

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

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

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.

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.

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

Project summary

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

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.

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.

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.

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 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.

An MCP server that connects AI assistants with Bitbucket Cloud, providing 45 tools for code review, pull request management, pipeline monitoring, etc., and supporting platforms such as Claude Code, VS Code, and Cursor.

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

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.

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

A locally prioritized and agent-agnostic model context protocol server based on the Auggie SDK, providing codebase semantic search, file retrieval, intelligent planning, code review, and cross-session memory functions. It supports integration with multiple MCP clients.

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.

Senior Consult MCP is an MCP server that allows AI agents to consult multiple top - tier models (such as Claude, GPT, Gemini, etc.) to obtain technical architecture suggestions, code reviews, and solutions to complex problems without switching contexts.

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