Custom GitLab MCP Server
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.
rating : 2 points
downloads : 13
What is GitLab MR Reviewer?
GitLab MR Reviewer is an AI-assisted automatic code review tool used to check and evaluate the code quality, style consistency, security issues, and compliance with team standards in GitLab merge requests.Key Features
This tool provides automated code review functionality by integrating the Claude AI model. It can identify potential code issues and offer suggestions and feedback to developers, thereby improving code quality and development efficiency.Use Cases
It is suitable for any team or project that requires strict code quality management. Whether you're an individual developer or a large enterprise, you can simplify the code review process and reduce human errors through this tool.Features
Automated Code ReviewAnalyze code in real-time to detect potential issues and risks.
Style Consistency CheckEnsure that the code complies with the team's coding standards and best practices.
Security AssessmentIdentify potential security vulnerabilities and prevent common security issues.
Integration SupportSeamlessly integrate with the GitLab API to provide a unified code review experience.
Analysis of Advantages and Disadvantages
How to Use
Install the necessary dependencies: npm install
Configure the GitLab API access token and Claude API key. Add the settings to the.env file.
Initialize the project and run the service: npm start
Frequently Asked Questions
Which Claude models are supported?
Can I customize the review checklist?
How do I set up Slack notifications?
What permissions does the GitLab token need?
More Resources
GitLab API Documentation
Official GitLab API reference documentation.
Claude API Documentation
Anthropic's Claude API documentation.
Example Configurations
Example configurations set by different teams.
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

Gitlab MCP Server
Certified
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.
TypeScript
79
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points