Compatible with every major AI agent and IDE
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 Pydantic AI?
Pydantic AI validates every Polygon.io tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Polygon.io integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Polygon.io connection logic from agent behavior for testable, maintainable code
Polygon.io in Pydantic AI
Polygon.io and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Polygon.io to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Polygon.io MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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