DeepShit MCP Code Critic

A brutally honest code review tool powered by DeepSeek-R1 AI and the Model Context Protocol (MCP).

Features

• 🔍 Deep code analysis with DeepSeek-R1 AI

• 🚀 Real-time feedback via MCP

• 💀 Brutally honest code reviews

• 🎯 Security, performance, and best practices checks

• 🌐 Modern cyberpunk UI

• ⚡ Built with Next.js and TypeScript

Related MCP server: MCP Code Sanitizer

Getting Started

Prerequisites

• Node.js 18+

• Together API key (for DeepSeek-R1)

• Redis URL (for SSE transport)

Installation

1. Clone the repository:

git clone https://github.com/yourusername/deepshit.git
cd deepshit

2. Install dependencies:

npm install

3. Create a .env.local file:

TOGETHER_API_KEY=your_api_key_here
TOGETHER_API_URL=https://api.together.xyz/v1
DEEPSEEK_MODEL=deepseek-ai/deepseek-coder-33b-instruct
REDIS_URL=your_redis_url_here

4. Run the development server:

npm run dev

Using with Cursor

Add this to your ~/.cursor/mcp.json:

{
  "mcpServers": {
    "deepshit-mcp-code-critic": {
      "command": "npx",
      "args": ["mcp-remote", "https://your-deployment.vercel.app/sse"],
      "env": {
        "NODE_ENV": "development",
        "LOG_LEVEL": "info"
      }
    }
  }
}

Architecture

• /app - Next.js app router pages and API routes

• /lib/mcp - MCP server implementation

  • /server.ts - Main MCP server setup

  • /tools - MCP tool implementations

  • /services - External service integrations

  • /utils - Shared utilities

Development

• npm run dev - Start Next.js development server

• npm run build - Build for production

• npm run start - Start production server

• npm run lint - Run ESLint

• npm test - Run tests

Contributing

1. Fork the repository

2. Create your feature branch (git checkout -b feature/amazing-feature)

3. Commit your changes (git commit -m 'Add some amazing feature')

4. Push to the branch (git push origin feature/amazing-feature)

5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• DeepSeek AI for their amazing models

• Model Context Protocol for the MCP specification

• Vercel for their MCP adapter and hosting