Code Review MCP Server

A Model Context Protocol (MCP) server that performs comprehensive code reviews using multiple AI models (O3, Gemini, Claude Opus) and consolidates the results with GPT-4.

Features

• Multi-Model Analysis: Leverages O3, Google Gemini, and Claude Opus for diverse perspectives

• Consolidated Reviews: Uses GPT-4 to merge and organize feedback from all models

• Comprehensive Feedback: Focuses on bugs, security, performance, and best practices

• MCP Integration: Works seamlessly with Claude Code and other MCP-compatible clients

Related MCP server: Claude Team MCP

Installation

1. Clone the repository:

git clone <repository-url>
cd code_review_mcp

2. Install dependencies:

pip install -r requirements.txt

3. Install in development mode:

pip install -e .

API Keys Required

You'll need API keys from:

• OpenAI: For O3-mini (reviews) and GPT-4o (consolidation)

• Google: For Gemini 2.5 Pro

• Anthropic: For Claude 3 Opus Latest

• Hugging Face: For Qwen2.5-Coder model

Configuration

Choose one of these two methods to provide your API keys:

Method 1: Environment File (Recommended)

1. Set up API keys:

cp .env.template .env
# Edit .env and add your API keys

2. Add to your Claude Code MCP settings:

{
  "mcpServers": {
    "code-review": {
      "command": "python",
      "args": ["-m", "code_review_mcp.server"]
    }
  }
}

Method 2: MCP Settings

Add API keys directly to your Claude Code MCP settings:

{
  "mcpServers": {
    "code-review": {
      "command": "python",
      "args": ["-m", "code_review_mcp.server"],
      "env": {
        "OPENAI_API_KEY": "your-openai-key",
        "GOOGLE_API_KEY": "your-google-key", 
        "ANTHROPIC_API_KEY": "your-anthropic-key",
        "HUGGINGFACE_API_KEY": "your-huggingface-key"
      }
    }
  }
}

Usage

The server provides one tool:

multi_model_code_review

Performs comprehensive code review using multiple AI models.

Parameters:

• code (required): The source code to review

• description (required): Author's description of the code's purpose

• language (optional): Programming language (default: auto-detect)

Example usage in Claude:

Please review this Python function using the multi_model_code_review tool:

Code:
def calculate_average(numbers):
    total = 0
    for num in numbers:
        total += num
    return total / len(numbers)

Description: This function calculates the average of a list of numbers.

Performance Note

This tool can be slow (30-60 seconds) due to:

• Multiple API calls to different models

• High reasoning effort for O3 model

• Consolidation step with GPT-4

API Requirements

• OpenAI API key (for O3 and GPT-4)

• Google API key (for Gemini)

• Anthropic API key (for Claude Opus)

Error Handling

The server includes robust error handling:

• Individual model failures won't break the entire review

• Timeout protection (3 minutes total)

• Fallback consolidation if GPT-4 fails

• Clear error messages for missing API keys