Tiger MCP

🐅 Tiger MCP System

Professional-grade Model Context Protocol (MCP) server for Tiger Brokers API integration with Claude AI

A comprehensive MCP server system that enables seamless integration between Claude AI and Tiger Brokers trading platform, featuring real-time market data, algorithmic trading capabilities, and intelligent portfolio management.

✨ Key Features

🤖 AI-Native Trading

Claude AI Integration: Direct MCP protocol support for conversational trading
Natural Language Processing: Execute trades using natural language commands
Intelligent Analysis: AI-powered market analysis and portfolio optimization
Risk Management: Automated risk assessment and position sizing

📊 Real-Time Market Data

Live Market Feeds: Real-time quotes, order books, and market depth
Historical Analysis: Comprehensive historical data with technical indicators
Market Scanning: Advanced screening and filtering capabilities
Global Markets: Support for US, HK, SG markets and more

⚡ High-Performance Trading

Sub-second Execution: Optimized order routing and execution
Portfolio Management: Real-time position tracking and P&L monitoring
Risk Controls: Built-in risk management and compliance checks
Scalable Architecture: UV workspace with modern async/await patterns

🛡️ Enterprise Security

Encrypted Communication: TLS/SSL encryption for all data transmission
Secure Authentication: Tiger Brokers OAuth2 with refresh token management
Audit Logging: Comprehensive logging for compliance and debugging
Production Ready: Docker containerization with health checks

🚀 Quick Start

Prerequisites

Python 3.11+ with UV package manager
Docker & Docker Compose for containerized deployment
Tiger Brokers Account with API access (Apply here)
Claude Desktop or Claude API access

⚡ 30-Second Setup

# 1. Clone and setup
git clone <your-repository-url>
cd tiger-mcp
cp .env.template .env  # Configure your Tiger API credentials

# 2. Install dependencies
curl -LsSf https://astral.sh/uv/install.sh | sh  # Install UV
uv sync  # Install all workspace dependencies

# 3. Start with Docker
docker-compose up -d

# 4. Verify installation
curl http://localhost:8000/health

🔧 Configuration

Edit .env with your Tiger Brokers credentials:

# Tiger API Configuration
TIGER_CLIENT_ID=your_client_id_here
TIGER_PRIVATE_KEY=your_private_key_here
TIGER_ACCOUNT=your_account_id_here
TIGER_SANDBOX=true  # Set to false for live trading

# Database (using Docker defaults)
DATABASE_URL=postgresql://tiger:tiger@localhost:5432/tiger_mcp

⚠️ Security Note: Never commit real credentials to version control. Use .env file for local development and secure environment variables for production.

🤖 Claude AI Integration

Tiger MCP supports both Claude Desktop and Claude Code with comprehensive trading capabilities.

Claude Desktop Configuration

Add Tiger MCP to your Claude Desktop configuration (~/.config/claude/config.json):

{
  "mcpServers": {
    "tiger-mcp": {
      "command": "uv",
      "args": ["run", "--package", "mcp-server", "python", "-m", "mcp_server.main"],
      "cwd": "/path/to/tiger-mcp",
      "env": {
        "TIGER_CLIENT_ID": "your_client_id",
        "TIGER_PRIVATE_KEY": "your_private_key", 
        "TIGER_ACCOUNT": "your_account_id"
      }
    }
  }
}

Claude Code Integration

For Claude Code users, Tiger MCP provides enhanced development and trading workflows:

# Configure Claude Code MCP server
cp config/claude_mcp.json ~/.config/claude-code/mcp-servers/

# Start the MCP server for Claude Code
uv run --package mcp-server python -m mcp_server --claude-code-mode

# Use with Claude Code commands
claude code analyze-portfolio --account=all
claude code backtest-strategy --symbol=AAPL --days=30
claude code risk-assessment --portfolio

Claude Code Features:

Code-Driven Trading: Generate and execute trading algorithms
Portfolio Analysis: Automated portfolio analysis and reporting
Strategy Development: Backtest and optimize trading strategies
Risk Management: Code-based risk analysis and position sizing
Multi-Account Operations: Manage multiple Tiger accounts programmatically

🎯 Example Conversations

General Trading (Claude Desktop & Claude Code):

💬 "Show me my portfolio performance this week"
💬 "What are the top gainers in tech stocks today?"
💬 "Buy 100 shares of AAPL when it drops below $180"
💬 "Analyze the risk of my current positions"

Multi-Account Trading:

💬 "Show portfolio for account account2_id"
💬 "Compare performance across all my accounts"
💬 "Switch to trading account account3_id and buy 100 TSLA"
💬 "What's the total portfolio value across all accounts?"

Claude Code Advanced Usage:

💬 "Generate a momentum trading strategy for NASDAQ stocks"
💬 "Backtest a mean reversion strategy on my current holdings"
💬 "Create a risk report for all accounts in PDF format"
💬 "Implement dollar-cost averaging for my portfolio"

🛠️ Available Tools & Capabilities

Tool	Description	Use Case
`get_account_info`	Account details and balances	Portfolio overview
`get_portfolio`	Holdings and P&L analysis	Performance tracking
`get_market_data`	Real-time quotes and data	Market analysis
`place_order`	Execute trading orders	Order management
`scan_market`	Market screening tools	Stock discovery
`get_historical_data`	Historical price data	Backtesting
`calculate_indicators`	Technical analysis	Chart analysis

📖 Documentation

🚀 Getting Started

Quick Start Guide - Get up and running in 30 minutes
Claude Code Integration - Complete Claude setup guide
Tiger Authentication - API credential configuration

🔧 Development

Development Guide - Technical details and workspace management
Architecture Overview - System design and components
API Reference - Complete MCP tools documentation

🚀 Deployment

Production Deployment - Production setup and best practices
Docker Guide - Containerization and orchestration
Security Guide - Security guidelines and best practices

🎯 Use Cases

💼 Portfolio Management

Real-time portfolio tracking and performance analysis
Automated rebalancing and risk management
Multi-account portfolio consolidation
Tax-loss harvesting optimization

📈 Algorithmic Trading

Strategy backtesting with historical data
Automated order execution based on technical indicators
Custom alert systems for market opportunities
High-frequency trading with sub-second latency

🔍 Market Research

Advanced market scanning and stock screening
Fundamental and technical analysis automation
Sector rotation and correlation analysis
Options strategy analysis and optimization

🤖 AI-Powered Insights

Natural language queries for market data
Automated report generation and analysis
Risk assessment and scenario modeling
Intelligent trade recommendations

🏗️ Architecture

Tiger MCP is built using a modern, scalable architecture:

MCP Server: FastMCP-based server with async/await patterns
Database: PostgreSQL with async SQLAlchemy for data persistence
Caching: Redis for high-performance data caching
Security: JWT authentication with encrypted credentials storage
Monitoring: Comprehensive logging and health check endpoints

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Process

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

Code Standards

Python: Black formatting, type hints, docstrings
Testing: Minimum 80% test coverage required
Documentation: Update docs for any new features
Security: Follow security best practices

📜 License

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

⚠️ Disclaimer

Important: This software is for educational and research purposes. Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance does not guarantee future results. Always consult with financial professionals before making investment decisions.

🆘 Support & Community

📧 Issues: GitHub Issues
📖 Documentation: Full Documentation
🎯 Discussions: GitHub Discussions
🐛 Bug Reports: Use the bug report template
💡 Feature Requests: Use the feature request template

🙏 Acknowledgments

Tiger Brokers for providing robust API services
Anthropic for Claude AI and MCP protocol
FastMCP for the excellent MCP framework
UV for modern Python package management

⭐ Star this repository if you find it useful!

Built with ❤️ for the trading and AI community

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables trading and market analysis through Tiger Brokers API integration. Provides real-time market data, portfolio management, order execution, and technical analysis tools with a comprehensive web dashboard for monitoring.

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