Zerodha-MCP

Repo for Zerodha mcp server

📈 MCP Trading Server for Zerodha Kite Connect

Production-ready MCP-compliant trading server for Zerodha Kite Connect API integration. Developed in Google Colab, deployable anywhere, with complete mock broker for development without API keys.

✨ Features

• 🤖 MCP Protocol - Works seamlessly with Claude and other MCP clients
• 📊 Complete Order Management - Full lifecycle tracking from signal to execution
• 🛡️ Risk Management - Configurable limits, circuit breakers, position controls
• 💼 Portfolio Tracking - Real-time P&L calculation and position management
• 🎭 Mock Broker - Realistic simulation for development without API access
• 🔌 Kite Connect Ready - Drop-in adapter with detailed integration guide
• 📝 Structured Logging - JSON logs for orders, risk events, and system operations
• ✅ Comprehensive Tests - 80%+ coverage with unit and integration tests

🚀 Quick Start

Option 1: Google Colab (Recommended for Development)

1. Open the Colab Notebook:

   • Open in Colab and paste the notebook from colab_notebook.md

2. Run Setup Cell:

   !pip install fastmcp pydantic sqlalchemy structlog
   # Run all cells in order
   

3. Test the System:

   # Quick test included in notebook
   await test_system()
   

4. Download & Push to GitHub:

   !zip -r trading-server.zip src/ tests/ docs/
   # Download ZIP and push to your GitHub repo
   

Option 2: Local Development

# Clone repository
git clone https://github.com/YOUR_USERNAME/zerodha-trading-mcp.git
cd zerodha-trading-mcp

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Configure environment
cp .env.example .env
# Edit .env with your settings

# Run tests
pytest tests/ -v

# Start MCP server
python src/server.py

📁 Project Structure

zerodha-trading-mcp/
├── src/
│   ├── server.py              # MCP server entry point
│   ├── config.py              # Configuration management
│   ├── mcp/                   # MCP protocol handlers
│   ├── core/                  # Trading engine
│   │   ├── risk_manager.py
│   │   ├── order_manager.py
│   │   └── portfolio_tracker.py
│   ├── adapters/              # Broker adapters
│   │   ├── base.py
│   │   ├── mock_broker.py
│   │   └── kite_adapter.py    # Placeholder for Kite Connect
│   ├── models/                # Data models
│   │   ├── signal.py
│   │   ├── order.py
│   │   ├── position.py
│   │   └── portfolio.py
│   └── utils/                 # Utilities
│       └── logger.py
├── tests/                     # Test suite
│   ├── unit/
│   └── integration/
├── docs/                      # Documentation
│   ├── API.md
│   ├── SETUP.md
│   └── KITE_INTEGRATION.md
├── logs/                      # Log files (gitignored)
├── data/                      # Database (gitignored)
├── .env.example               # Environment template
├── requirements.txt
└── README.md

🎯 Usage with MCP Client

Example: Trading with Claude

User: Buy 10 shares of SBIN at market price

Claude: I'll place that order for you.
[Calls place_order tool with symbol=SBIN, action=BUY, quantity=10]

Server Response:
✅ Order Submitted Successfully
- Symbol: SBIN
- Action: BUY
- Quantity: 10
- Status: SUBMITTED
Order ID: abc-123-def

Available MCP Tools

1. place_order - Submit trading orders (BUY/SELL)
2. get_positions - View all open positions with P&L
3. get_portfolio - Complete portfolio summary
4. cancel_order - Cancel pending orders
5. get_order_status - Check specific order status
6. get_order_history - View past orders
7. get_risk_metrics - Current risk exposure and limits

⚙️ Configuration

Edit .env file to configure:

# Environment
ENVIRONMENT=development
DEBUG=true
DRY_RUN=false           # Set to true for testing without real orders

# Broker
BROKER_TYPE=mock        # Change to 'kite' when ready

# Risk Limits
MAX_POSITION_SIZE=500000.0       # ₹5 lakhs per position
MAX_TOTAL_EXPOSURE=2000000.0     # ₹20 lakhs total
MAX_POSITIONS=10                 # Max concurrent positions
MAX_DAILY_LOSS_PCT=5.0          # Circuit breaker at -5%

# Kite Connect (fill when ready)
KITE_API_KEY=your_key_here
KITE_API_SECRET=your_secret_here
KITE_ACCESS_TOKEN=

🧪 Testing

# Run all tests
pytest tests/ -v

# Run with coverage
pytest tests/ --cov=src --cov-report=html

# Run specific test file
pytest tests/unit/test_trading.py -v

# Run integration tests only
pytest tests/integration/ -v

📊 Mock Broker Features

The mock broker simulates realistic trading behavior:

• ✅ Random order delays (50-200ms)
• ✅ Slippage simulation (0.05-0.15%)
• ✅ Partial fill scenarios
• ✅ Order rejection cases (5% rate)
• ✅ Market price movements
• ✅ Bid-ask spreads

Perfect for development and testing without API access!

🔌 Kite Connect Integration

Prerequisites

1. Zerodha trading account
2. Kite Connect API subscription (₹2000/month)
3. Create app in Kite Connect Dashboard

Integration Steps

# 1. Get API credentials
KITE_API_KEY=your_key
KITE_API_SECRET=your_secret

# 2. Update .env
BROKER_TYPE=kite

# 3. Install kiteconnect
pip install kiteconnect

# 4. Uncomment Kite adapter code
# See src/adapters/kite_adapter.py for detailed instructions

# 5. Authenticate
# Run authentication flow to get access_token

# 6. Start with dry-run
DRY_RUN=true

# 7. Test with small orders
# Place 1-share orders first

# 8. Go live
DRY_RUN=false

See docs/KITE_INTEGRATION.md for complete guide.

📈 Risk Management

Built-in risk controls:

All limits are configurable via .env.

📝 Logging

Structured JSON logs in logs/ directory:

• orders_{date}.jsonl - All order activity
• risk_{date}.jsonl - Risk check results
• system_{date}.jsonl - System events
• errors_{date}.jsonl - Error tracking

🛠️ Development Workflow

Phase 1: Mock Trading (Current)

• ✅ Develop in Google Colab
• ✅ Test with mock broker
• ✅ Perfect your strategy
• ✅ Store in GitHub

Phase 2: API Integration

• 🔶 Get Kite Connect credentials
• 🔶 Implement authentication
• 🔶 Test with paper trading
• 🔶 Small real orders

Phase 3: Production

• ⏳ Scale up gradually
• ⏳ Monitor performance
• ⏳ Add enhancements
• ⏳ Optimize strategy

🚦 Status

• ✅ Complete: Mock trading, risk management, portfolio tracking
• 🔶 Pending: Kite Connect integration (requires API keys)
• ⏳ Future: Dashboard, advanced analytics, AI signal integration

🤝 Contributing

Contributions welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Write tests for new features
4. Ensure all tests pass
5. Submit pull request

📄 License

MIT License - see LICENSE file for details.

⚠️ Disclaimer

This software is for educational purposes. Trading involves risk. Always:

• Start with small positions
• Use proper risk management
• Test thoroughly before live trading
• Never trade more than you can afford to lose

📧 Support

• 📖 Documentation
• 🐛 Report Issues
• 💬 Discussions

🙏 Acknowledgments

• Built for Model Context Protocol
• Designed for Zerodha Kite Connect
• Developed with Claude

Ready to start trading with AI? Clone, configure, and go! 🚀