Bring Stock Market
to OpenAI Agents SDK
Learn how to connect Polygon.io to OpenAI Agents SDK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Polygon.io MCP Server?
Connect your Polygon.io account to any AI agent to retrieve institutional-grade financial data through natural language. Monitor market trends, analyze historical performance, and inspect company fundamentals without leaving your chat interface.
What you can do
- Market Aggregates — Fetch OHLCV (Open, High, Low, Close, Volume) bars for any ticker over custom timeframes (minute, hour, day)
- Real-Time & Historical Trades — Access tick-by-tick trade data to analyze precise market movements and execution prices
- Company Fundamentals — Retrieve detailed metadata for stock tickers, including industry classifications and company descriptions
- Dividend Tracking — List historical cash dividend distributions, frequencies, and ex-dividend dates for specific assets
- Ticker Discovery — Query the full list of supported tickers and financial instruments available on the platform
How it works
- Subscribe to this server
- Enter your Polygon.io API Key
- Start querying financial markets from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Financial Analysts — quickly pull historical aggregates and dividend data for modeling and reporting
- Traders & Quants — inspect tick-by-tick trades and quotes (NBBO) to validate strategies directly from the terminal
- Fintech Developers — verify ticker metadata and market connectivity while building financial applications
Built-in capabilities (6)
Get aggregate bars for a stock
Get company details for a ticker
List historical dividends
Get tick-by-tick quotes (NBBO)
io. Query all supported tickers
Get tick-by-tick trades
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 6 tools from Polygon.io through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Polygon.io, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Polygon.io in OpenAI Agents SDK
Polygon.io and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Polygon.io to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Polygon.io in OpenAI Agents SDK
The Polygon.io MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Polygon.io for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Polygon.io MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I get historical price data for a specific stock over a date range?
Yes. Use the get_aggregates tool by providing the ticker, multiplier, timespan (e.g., 'day'), and the 'from' and 'to' dates. The agent will return the OHLCV bars for that period.
How do I find the description and industry of a specific company?
Simply use the get_company tool with the stock ticker (e.g., 'AAPL'). It will retrieve the official company metadata, including its business description and industry classification.
Is it possible to see the most recent trades for a ticker?
Yes! The list_trades tool allows you to fetch tick-by-tick trade data for a specific ticker, showing execution prices and sizes as they happen in the market.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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