code-review-mcp
Enables comprehensive code reviews using multiple AI models (O3, Gemini, Claude Opus) and consolidates results with GPT-4, focusing on bugs, security, performance, and best practices.
README
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
Installation
- Clone the repository:
git clone <repository-url>
cd code_review_mcp
- Install dependencies:
pip install -r requirements.txt
- 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)
- Set up API keys:
cp .env.template .env
# Edit .env and add your API keys
- 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 reviewdescription(required): Author's description of the code's purposelanguage(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
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