Code Review

🚀 Code Review Server

A custom MCP server that uses Repomix and Large Language Models (LLMs) to perform code reviews.

🚀 Quick Start

This code review server is a custom MCP server that leverages Repomix and Large Language Models (LLMs) to perform code reviews. It offers a range of features to streamline the code analysis process, from flattening code repositories to providing structured review results.

✨ Features

• Flatten code repositories using Repomix.
• Analyze code using Large Language Models.
• Obtain structured code review results, including specific issues and suggestions.
• Support multiple LLM providers (OpenAI, Anthropic, Gemini).
• Handle large code repositories in chunks.

📦 Installation

# Clone the repository
git clone https://github.com/yourusername/code-review-server.git
cd code-review-server

# Install dependencies
npm install

# Build the server
npm run build

📚 Documentation

Configuration

Create a .env file in the root directory based on the .env.example template:

cp .env.example .env

Edit the .env file to set your chosen LLM provider and API key:

# LLM provider configuration
LLM_PROVIDER=OPEN_AI
OPENAI_API_KEY=your_openai_api_key_here

Usage

As an MCP Server

The code review server implements the Model Context Protocol (MCP) and can be used with any MCP client:

# Start the server
node build/index.js

The server exposes two main tools:

1. analyze_repo: Flatten the code repository using Repomix.
2. code_review: Perform a code review using an LLM.

When to Use MCP Tools

This server provides two different tools for different code analysis needs:

analyze_repo

Use this tool when you need:

• To flatten the code repository structure.
• To quickly overview the entire code repository.

code_review

Use this tool when you need:

• To conduct an in - depth analysis of code quality and security issues.
• To get specific improvement suggestions.

Output Format of the Code Review Server

Code review results are returned in a structured JSON format:

{
  "summary": "A brief summary of the code and its purpose",
  "issues": [
    {
      "type": "SECURITY|PERFORMANCE|QUALITY|MAINTAINABILITY",
      "severity": "HIGH|MEDIUM|LOW",
      "description": "Description of the issue",
      "line_numbers": [12, 15],
      "recommendation": "Recommended fix"
    }
  ],
  "strengths": ["List of code strengths"],
  "recommendations": ["List of overall improvement suggestions"]
}

📄 License

MIT