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Options Chain MCP Server

MCP Server

Access Tradier options data via Claude

Stale(50)
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Updated Aug 12, 2025

About

Provides AI assistants with on-demand options chain and historical price data from the Tradier Sandbox API, enabling natural language queries for market insights.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Options Chain MCP Server Demo

Overview

The options-chain-mcp server bridges Claude Desktop and the Tradier Sandbox API, giving AI assistants instant access to real‑time options data and historical pricing for equities and option contracts. By exposing a simple, declarative MCP interface, developers can ask natural‑language questions about options markets—such as “What are the key highlights of SPY’s two‑week out options?”—and receive structured, context‑rich responses without writing any API code.

This server solves the problem of context overload in AI workflows. Options chains can contain thousands of contracts; the MCP automatically filters for strikes near the current price and those with significant volume or open interest, keeping the data payload manageable while still delivering the most actionable insights. It also offers a historical prices endpoint, enabling trend analysis and back‑testing directly within the assistant’s knowledge base.

Key capabilities include:

  • Options chain retrieval for any symbol and expiration date, with optional filters for call/put or a percentage band around the spot price.
  • Automatic strike pruning based on volume and open interest thresholds to limit context size.
  • Historical price queries for both underlying securities and individual option contracts over a user‑defined period.
  • Natural‑language integration: users can pose questions in plain English and receive concise, well‑structured answers that Claude can embed into larger documents or reports.

Typical use cases span finance teams, quantitative analysts, and retail traders. A portfolio manager might ask the assistant to summarize the most liquid strikes for a client’s equity, while an algorithmic trader could retrieve historical IV curves to calibrate volatility models—all without leaving the Claude interface.

Because the MCP server runs locally, it respects Tradier’s sandbox environment and preserves API keys in a secure configuration file. The server’s lightweight design means it can be deployed on any machine running Node.js, and its declarative command structure makes adding new endpoints or tweaking filters straightforward for developers familiar with MCP concepts.