# OptionsFlow (Yahoo Finance)

> Use this tool when you need to analyze options chains, calculate Greeks, and evaluate basic options strategies. It solves problems related to portfolio risk management, options strategy backtesting, and financial advisory by providing comprehensive risk metrics and liquidity analysis. The OptionsFlow tool takes in financial data and outputs in-depth options analysis, making it ideal for AI applications requiring advanced options evaluation and strategy assessment.

Canonical page: https://skillsregistry.net/skills/twolven-optionsflow  
JSON: https://api.skillsregistry.net/v1/skills/twolven-optionsflow

## Description

This OptionsFlow MCP server, developed by Todd Wolven, provides advanced options analysis and strategy evaluation through Yahoo Finance. Built with Python and leveraging libraries like yfinance and scipy, it offers tools for analyzing options chains, calculating Greeks, and evaluating basic options strategies such as credit spreads, cash-secured puts, and covered calls. The implementation stands out by providing comprehensive risk metrics and liquidity analysis, making it valuable for AI assistants or applications needing to assess options strategies. It's particularly useful for tasks like portfolio risk management, options strategy backtesting, or building financial advisory tools that require in-depth options data and analysis capabilities.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/twolven-optionsflow)
- **Repository:** <https://github.com/twolven/mcp-optionsflow>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "twolven-optionsflow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/twolven-optionsflow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/twolven-optionsflow/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt