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mcp-optionsflow
An MCP server providing advanced options analysis through Yahoo Finance, supporting Greeks calculations, strategy evaluation (CCS/PCS/CSP/CC), and risk metrics. Built for MCP with Claude.ai.
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OptionsFlow MCP Server
A Model Context Protocol (MCP) server providing advanced options analysis and strategy evaluation through Yahoo Finance. Enables LLMs to analyze options chains, calculate Greeks, and evaluate basic options strategies with comprehensive risk metrics.
Features
Options Analysis
- Complete options chain data processing
- Greeks calculation (delta, gamma, theta, vega, rho)
- Implied volatility analysis
- Probability calculations
- Risk/reward metrics
Strategy Analysis
- Credit Call Spreads (CCS)
- Put Credit Spreads (PCS)
- Cash Secured Puts (CSP)
- Covered Calls (CC)
- Position Greeks evaluation
- Liquidity analysis
- Risk metrics calculation
Risk Management
- Bid-ask spread analysis
- Volume and open interest validation
- Position sizing recommendations
- Maximum loss calculations
- Probability of profit estimates
Installation
# Install dependencies
pip install -r requirements.txt
# Clone the repository
git clone https://github.com/twolven/mcp-optionsflow.git
cd mcp-optionsflow
Usage
Add to your Claude configuration:
In your claude-desktop-config.json
, add the following to the mcpServers
section:
{
"mcpServers": {
"optionsflow": {
"command": "python",
"args": ["path/to/optionsflow.py"]
}
}
}
Replace "path/to/optionsflow.py" with the full path to where you saved the optionsflow.py file.
Available Tools
-
analyze_basic_strategies
{
"symbol": str, # Required: Stock symbol
"strategy": str, # Required: "ccs", "pcs", "csp", or "cc"
"expiration_date": str, # Required: "YYYY-MM-DD"
"delta_target": float, # Optional: Target delta for CSP/CC (default: 0.3)
"width_pct": float # Optional: Width for spreads (default: 0.05)
}
Strategy Analysis Response Format
{
"symbol": str,
"strategy": str,
"current_price": float,
"expiration": str,
"days_to_expiration": int,
"analysis": {
# Credit Call Spread / Put Credit Spread
"strikes": {
"short_strike": float,
"long_strike": float
},
"metrics": {
"credit": float,
"max_loss": float,
"max_profit": float,
"probability_of_profit": float,
"risk_reward_ratio": float
},
"greeks": {
"net_delta": float,
"net_theta": float,
"net_gamma": float
}
# Cash Secured Put
"strike": float,
"metrics": {
"premium": float,
"max_loss": float,
"assigned_cost_basis": float,
"return_if_otm": float,
"downside_protection": float
},
"greeks": {
"delta": float,
"theta": float,
"gamma": float
}
# Covered Call
"strike": float,
"metrics": {
"premium": float,
"max_profit": float,
"max_profit_percent": float,
"upside_cap": float,
"premium_yield": float
},
"greeks": {
"position_delta": float,
"theta": float,
"gamma": float
}
}
}
Requirements
- Python 3.12+
- mcp
- yfinance
- pandas
- numpy
- scipy
Limitations
- Data sourced from Yahoo Finance with potential delays
- Options data availability depends on market hours
- Rate limits based on Yahoo Finance API restrictions
- Greeks calculations are theoretical and based on Black-Scholes model
- Early assignment risk not factored into probability calculations
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Author
Todd Wolven - (https://github.com/twolven)
Acknowledgments
- Built with the Model Context Protocol (MCP) by Anthropic
- Data provided by Yahoo Finance
- Developed for use with Anthropic's Claude
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Reviews

user_icgnKS4P
I recently started using mcp-optionsflow by twolven, and it has been a game-changer for my options trading strategies. The tool efficiently tracks and displays options flow data, providing invaluable insights. It's user-friendly, well-documented, and seamlessly integrates into my workflow. Highly recommend for anyone serious about options trading! Check it out on GitHub.