mcpField
O
Options Data MCP

Options Data MCP

Local
api.optionsdataapi.comFinance0Updated 5w ago
RepositoryVisit website

About Options Data MCP

Options Data MCP exposes options-market analytics from Options Data API to AI agents, including volatility, dealer positioning, and strike data. It is intended for MCP clients that need these endpoints as tools.

Key features

  1. 01Gamma exposure and positioning
  2. 02IV and volatility analysis
  3. 03Market regime data
  4. 04Strike and spread setups
  5. 05Options universe screening

Use cases

  1. 01Review dealer gamma positioning
  2. 02Compare implied and historical volatility
  3. 03Inspect IV term structure and skew
  4. 04Screen options by IV and earnings

MCP support

An MCP server that exposes Options Data API endpoints as native tools. Access uses an API key or x402 pay-per-call.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "thelogicaldude-options-data": {
      "command": "npx",
      "args": [
        "-y",
        "options-data-mcp"
      ],
      "env": {
        "OPTIONS_DATA_API_KEY": "<OPTIONS_DATA_API_KEY>"
      }
    }
  }
}
Run commandnpx -y options-data-mcp
Environment variables to set
OPTIONS_DATA_API_KEYSecretAPI key for the Options Data API (subscription or paygo key)

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmoptions-data-mcp0.1.2

Tools

8

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
tickerstringYesTicker symbol, e.g. AAPL, TSLA, SPY

Details

From the project README

Options Data MCP Server

MCP (Model Context Protocol) server that exposes Options Data API endpoints as native tools for AI agents.

Install

npx -y options-data-mcp@latest

Or run from source:

git clone https://github.com/thelogicaldude/options-data-mcp
cd options-data-mcp
npm install && npm run build
npm run start

Configure

Add to your agent's MCP config (e.g., Claude Desktop claude_desktop_config.json):

{
  "mcpServers": {
    "options-data": {
      "command": "npx",
      "args": ["-y", "options-data-mcp@latest"],
      "env": {
        "OPTIONS_DATA_API_KEY": "your_api_key_here"
      }
    }
  }
}

Available Tools

ToolDescription
get_gammaGamma exposure profile — dealer positioning, flip zone, pin strikes
get_vrpVolatility richness — ATM IV vs HV30, premium read
get_term_structureIV term structure and skew across DTE buckets
get_structureFull bundle — gamma + VRP + term structure
get_regimeGEX regime — stabilizing vs destabilizing
get_strikesStrike recommendations — wheel/CC picks or GEX support/resistance
get_credit_spreadCredit spread setup — GEX-regime-gated with sizing
get_screenerUniverse screener — IV, fundamentals, earnings filter

Environment Variables

VariableDefaultDescription
OPTIONS_DATA_API_KEY(empty)API key for subscription access. Omit for x402 pay-per-call
API_BASEhttps://api.optionsdataapi.comAPI base URL

Pricing

See api.optionsdataapi.com for endpoint pricing and subscription tiers.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.