Ndlovu Code Reviewer
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.
rating : 2 points
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What is the Code Review MCP Server?
This is an intelligent code review tool designed specifically for developers and AI assistants. It can automatically detect uncommitted code changes in your local repository, combine static analysis with AI intelligent review, and provide professional code quality assessment and improvement suggestions.How to use the Code Review MCP Server?
Simply enable this server in an AI assistant that supports the MCP protocol (such as Claude Code, Gemini CLI, etc.), and then trigger the code review through simple commands. The system will automatically analyze your code changes and return a detailed review report.Applicable scenarios
Suitable for individual developers, team code reviews, code quality checks when learning programming, and any development scenarios that require quick code improvement suggestions. Particularly suitable for JavaScript, TypeScript, and Vue projects.Main features
Automatic change detection
Automatically identify uncommitted code changes in the git repository without manually specifying files.
Hybrid analysis engine
Combine static analysis tools (ESLint, JSHint, TypeScript) with AI intelligent review to provide a comprehensive code quality assessment.
Structured output
Return the review results in a clear JSON format, including problem classification, severity, and specific improvement suggestions.
Multi-client support
Support multiple MCP-compatible clients such as Claude Code, Gemini CLI, Roo Code, etc.
Intelligent fallback mechanism
Automatically select the most suitable code analysis tool to ensure normal operation in various projects.
Advantages
Save time: Automate the code review process and reduce the workload of manual checks.
Intelligent suggestions: Provide context-related improvement suggestions by combining AI.
Easy integration: Seamlessly integrate with the existing development toolchain.
Comprehensive coverage: Support multiple programming languages and frameworks.
Real-time feedback: Immediately obtain feedback on code quality.
Limitations
Dependent on Git: The project needs to be under git version control.
Specific file types: Mainly support JS/TS/Vue files.
Requires Gemini CLI: Dependent on an external AI service.
Network requirement: Some functions require an internet connection.
Learning curve: Requires understanding of the basic concepts of the MCP protocol.
How to use
Environment preparation
Ensure that Node.js 18+ , Git, and Google Gemini CLI are installed, and complete the authentication configuration of Gemini CLI.
Install the server
Clone the project repository, install the dependencies, and build the production version.
Configure the MCP client
Register the code review server in your preferred MCP client.
Start using
Make modifications in the code repository, and then trigger the code review through the MCP client.
Usage examples
Daily development code review
After completing feature development, use the code review tool to check code quality and ensure compliance with best practices.
Code check when learning programming
Programming learners use this tool to check their own code and understand potential issues and improvement directions.
Team code quality assurance
Conduct a quick review before code submission to ensure that the code quality meets the team's standards.
Frequently Asked Questions
Which programming languages does this tool support?
Is an internet connection required?
How to configure it in different MCP clients?
What information does the review result contain?
What if the tool does not detect any changes?
Related resources
GitHub repository
Project source code and latest updates
MCP protocol documentation
Official specification of the Model Context Protocol
Gemini CLI Quick Start
Installation and configuration guide for Gemini CLI
Claude Code extension
Claude Code extension in VS Code

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