Ndlovu Code Reviewer
N

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.
2 points
0

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

Installation

Copy the following command to your Client for configuration
{
     "mcpServers": {
       "ndlovu-code-reviewer": {
         "command": "node",
         "args": ["/absolute/path/to/ndlovu-code-reviewer/dist/index.js"],
         "cwd": "/absolute/path/to/ndlovu-code-reviewer"
       }
     }
   }

{
     "mcpServers": {
       "ndlovu-code-reviewer": {
         "command": "npm",
         "args": ["run", "start"],
         "cwd": "."
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
10.0K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.9K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.2K
5 points
G
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
16.6K
4.3 points
N
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
14.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.0K
4.3 points
M
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
23.6K
5 points
U
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#
19.2K
5 points
F
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
44.5K
4.5 points
M
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
30.3K
4.8 points
C
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
62.9K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase