Integrations
Uses NumPy for numerical computations in options analysis, including Greeks calculations and probability estimates
Leverages pandas for options data manipulation, strategy analysis, and financial metrics calculations
Runs as a Python-based MCP server that provides options analysis capabilities through Python scripts
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
Usage
Add to your Claude configuration:
In your claude-desktop-config.json
, add the following to the mcpServers
section:
Replace "path/to/optionsflow.py" with the full path to where you saved the optionsflow.py file.
Available Tools
analyze_basic_strategies
Strategy Analysis Response Format
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
This server cannot be installed
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.
A Model Context Protocol server that enables LLMs to analyze options chains, calculate Greeks, and evaluate basic options strategies through Yahoo Finance data.
- Features
- Installation
- Usage
- Available Tools
- Requirements
- Limitations
- Contributing
- License
- Author
- Acknowledgments
Related Resources
Related MCP Servers
- -securityAlicense-qualityA Model Context Protocol server providing real-time stock data and options analysis through Yahoo Finance, enabling LLMs to access market data, analyze stocks, and evaluate options strategies.Last updated -4PythonMIT License
- AsecurityAlicenseAqualityA Model Context Protocol server that gives LLMs the ability to interact with Ethereum networks, manage wallets, query blockchain data, and execute smart contract operations through a standardized interface.Last updated -313232TypeScriptMIT License
- AsecurityAlicenseAqualityA Model Context Protocol server that provides basic calculator functionality for LLMs, enabling them to perform mathematical operations like addition, subtraction, multiplication, division, modulo, and square root.Last updated -618010TypeScriptMIT License
- -securityAlicense-qualityA Model Context Protocol server that enables access to Ramp financial data through an in-memory database, allowing LLMs to analyze transactions, reimbursements, bills, and other financial information from Ramp's platform.Last updated -14PythonMIT License
Appeared in Searches
- A server for trading items on Minecraft MCP servers
- A tool or platform for MATLAB resources and information
- A server or tool for finding information on trading bots
- A server for accessing cryptocurrency market data
- A tool for backtesting trading strategies on historical data and analyzing performance metrics