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OptionsFlow MCP Server

@twolven

OptionsFlow MCP Server について

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.

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

twolven

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標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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概要

What is OptionsFlow MCP Server?

A Model Context Protocol (MCP) server that provides advanced options analysis and strategy evaluation through Yahoo Finance. It enables LLMs to analyze options chains, calculate Greeks, and evaluate basic options strategies with comprehensive risk metrics.

How to use OptionsFlow MCP Server?

Install dependencies (pip install -r requirements.txt), clone the repository, then add the server to your Claude configuration in claude-desktop-config.json with command: "python" and args: ["path/to/optionsflow.py"]. Use the analyze_basic_strategies tool by providing a stock symbol, strategy type (ccs, pcs, csp, cc), expiration date, and optional parameters like delta target or width percentage.

Key features of OptionsFlow MCP Server

  • Complete options chain data processing and Greeks calculation
  • Strategy analysis for credit spreads, secured puts, and covered calls
  • Risk management with bid-ask spread and volume validation
  • Implied volatility analysis and probability calculations
  • Position Greeks evaluation and liquidity analysis
  • Maximum loss and probability of profit estimates

Use cases of OptionsFlow MCP Server

  • Analyze options chains and calculate Greeks for any stock symbol
  • Evaluate credit call spreads, put credit spreads, cash secured puts, and covered calls
  • Obtain risk/reward metrics and probability of profit before trading
  • Assess liquidity and position sizing recommendations for options strategies

FAQ from OptionsFlow MCP Server

What data source does OptionsFlow MCP Server use?

OptionsFlow MCP Server sources data from Yahoo Finance, which may have data delays and is subject to market hours and rate limits.

What are the runtime requirements?

Python 3.12+ and the following dependencies: mcp, yfinance, pandas, numpy, scipy.

What limitations should I be aware of?

Data can be delayed, Greeks are theoretical (Black-Scholes model), early assignment risk is not factored, and options data availability depends on market hours.

Does OptionsFlow MCP Server require authentication?

No, it does not require any authentication.

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