TradePilot MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TradePilot MCP Serveranalyze SPY for swing trade signals"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🚀 TradePilot MCP Server v3.0
Advanced 18-Layer Trading Intelligence Engine
A production-grade MCP (Model Context Protocol) server that combines Polygon.io real-time market data with an 18-layer technical analysis engine for autonomous options trading intelligence.
📊 What is This?
TradePilot is a FastAPI-based MCP server that:
Fetches real-time and historical market data from Polygon.io
Runs analysis through 18 specialized layers (Technical + Price Action + Options + Master Brain)
Provides 14 high-probability playbooks targeting 85-95% win rates
Delivers actionable options trading signals with precise strike/expiry recommendations
Includes multi-ticker scanning, risk management, and alert notifications
Think of it as your AI options trading copilot powered by institutional-grade analysis.
Related MCP server: FIX MCP Server
🎯 Key Features
18-Layer Analysis System
Layers 1-10: Technical indicators (Momentum, Volume, Trend, Structure)
Layers 11-13: Price action (Support/Resistance, VWAP, Volume Profile)
Layers 14-17: Options analysis (IV, Greeks, Gamma, Put/Call ratios)
Layer 18: Master Brain with 14 playbooks
Trading Modes
SCALP: 0-2 DTE options
SWING: 7-45 DTE options
INTRADAY: Same-day trades
Advanced Features
Multi-ticker scanner with filtering
Kelly Criterion position sizing
Risk management with drawdown protection
Discord/Slack/Telegram alerts
Backtesting engine
AI-ready JSON output
🚀 Quick Start
# Clone the repository
git clone https://github.com/Sakhir786/tradepilot-mcp-server.git
cd tradepilot-mcp-server
# Set up environment
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
# Configure environment variables
cp .env.example .env
# Edit .env and add your POLYGON_API_KEY
# Run the server
python main.py
# Or with uvicorn:
uvicorn main:app --host 0.0.0.0 --port 10000Access documentation at: http://localhost:10000/docs
📡 API Endpoints
18-Layer Analysis
GET /engine18/analyze- Full 18-layer analysisGET /engine18/quick- Quick signal checkGET /engine18/scan- Multi-ticker scannerGET /engine18/playbooks- List all 14 playbooksGET /engine18/health- System health check
Market Data (Polygon.io)
GET /candles- OHLCV dataGET /options- Options chainGET /news- Latest newsGET /ticker-details- Company info
🔧 Environment Variables
POLYGON_API_KEY=your_api_key_here
TRADEPILOT_PRODUCTION_PATH=/path/to/tradepilot-mcp-server
TRADEPILOT_LAYERS_PATH=/path/to/layers
TRADEPILOT_PORTFOLIO_VALUE=100000
TRADEPILOT_DISCORD_WEBHOOK=your_webhook_url📊 Example Usage
import requests
# Full analysis
response = requests.get(
"http://localhost:10000/engine18/analyze",
params={"symbol": "SPY", "mode": "swing"}
)
analysis = response.json()
print(f"Direction: {analysis['analysis_summary']['direction']}")
print(f"Win Probability: {analysis['analysis_summary']['win_probability']}%")🎯 14 High-Probability Playbooks
Bullish (CALLS):
Liquidity Sweep + BOS (85-95%)
CHoCH Reversal (82-92%)
Trend Continuation (80-90%)
FVG Fill + Rejection (81-88%)
Order Block Bounce (79-87%)
Divergence + Structure (80-88%)
VWAP Reclaim (77-85%)
Bearish (PUTS): 8-14. Mirror patterns for bearish setups
🔐 Security & Best Practices
Never commit
.envfilesKeep API keys secure
Use environment variables for sensitive data
Enable rate limiting for production deployments
📝 License
MIT License - See LICENSE file for details
🤝 Contributing
Contributions welcome! Please open an issue or submit a pull request.
📧 Support
For issues or questions, please open a GitHub issue.
TradePilot v3.0 - Professional Options Trading Intelligence 🚀📈
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