Polygon.io MCP Server

The Polygon.io MCP server bridges the gap between raw financial market data and AI assistants by exposing every endpoint of the Polygon.io API as a Model Context Protocol (MCP) tool. Developers can therefore query real‑time and historical market information—such as stock, options, forex, and crypto aggregates, trades, quotes, snapshots, ticker reference data, dividends, splits, fundamentals, market status, and holidays—directly from within an LLM workflow. This eliminates the need to write custom adapters or manage authentication tokens for each data request, letting the assistant handle the plumbing while you focus on business logic.

At its core, the server translates MCP tool calls into HTTP requests against Polygon.io’s RESTful endpoints. Each tool is automatically named after the corresponding API path, and the response payloads are returned in a JSON structure that LLMs can parse without additional formatting. The result is an AI‑friendly interface that preserves the full richness of Polygon.io’s data while keeping interactions succinct and type‑safe. For developers building trading bots, portfolio trackers, or financial analytics dashboards, this means instant access to the same data that powers professional platforms—right from a conversational agent.

Key capabilities include:

• Comprehensive coverage: All public Polygon.io endpoints are available, from minute‑bar aggregates to real‑time trade streams.
• Auth‑free integration: The server handles API key injection automatically, so the LLM never exposes credentials.
• Transport flexibility: While STDIO is default, the server can be configured to use Server‑Sent Events (SSE) or Streamable HTTP for low‑latency, continuous data feeds.
• Extensibility: New Polygon.io endpoints are added automatically by updating the server, keeping the toolset current without manual intervention.

Typical use cases span a wide spectrum: an AI assistant can pull the latest 30‑minute price bars for a portfolio, generate earnings summaries by querying fundamentals, or monitor market status to trigger automated trading strategies. In research settings, the server enables rapid prototyping of data‑driven hypotheses without writing boilerplate code. Because each tool call is a single, well‑defined request, developers can easily audit and log interactions, satisfying compliance requirements in regulated financial environments.

By integrating Polygon.io data directly into MCP workflows, this server turns complex market feeds into first‑class conversational inputs. Developers can build richer, data‑powered AI experiences—such as real‑time market analysis, automated trade recommendations, or personalized investment insights—without wrestling with API intricacies. The result is a streamlined development pipeline where the assistant becomes the single point of entry to high‑quality financial data.