mcp_polygonשרת MCP עבור נתוני שוק פיננסיים של Polygon.io

How does the tool stay up‑to‑date with Polygon.io’s API endpoints?

At startup the server dynamically indexes all Polygon.io endpoints from the API definition, so any new or changed endpoints are automatically included without manual updates.

Asked by Xavier Costa · Dec 5, 2025

What built‑in financial functions are available for post‑processing data?

The server includes functions such as Black‑Scholes Greeks (bs_price, bs_delta, etc.), return metrics (simple_return, log_return), risk ratios (sharpe_ratio, sortino_ratio), and technical indicators (sma, ema), which can be applied to API results or SQL query outputs via the apply parameter.

Asked by Halime Yalcin · Dec 5, 2025

Can mcp_polygon store and query retrieved market data locally?

Yes. The server can save API responses into an in‑memory SQLite database, which you can query with SQL via the query_data tool, using functions like SHOW TABLES or complex CTEs and window functions.

Asked by Xiomara Delgado · Nov 21, 2025

What do I need to run mcp_polygon and access Polygon.io data?

You need Python 3.12+ installed, a valid Polygon.io API key, and the Astral UV library version 0.4.0 or higher. Once those are set up, you can install the MCP server and start it.

Asked by Zeynep Aydin · Aug 18, 2025