Polygon.io MCP. Analyze Stock Market Data and Trades Instantly
Polygon.io connects your agent to institutional-grade financial data, giving you instant access to real-time and historical stock market information right inside your chat window. You can retrieve OHLCV aggregates, analyze tick-by-tick trades, check company fundamentals, or track past dividend payments instantly without leaving your workflow.
Give Claude and any AI agent real-world access
Retrieve Open, High, Low, Close, Volume (OHLCV) bars for any stock across custom timeframes.
Access tick-by-tick trade data and quotes to pinpoint exact market movements and execution prices.
Pull detailed metadata for a stock ticker, including its industry classification and primary business description.
List historical cash dividend payments, including the frequency and ex-dividend dates for specific assets.
Query a full list of supported financial tickers and instruments available on the platform.
Ask an AI about this
Waiting for input…
What AI agents can do with Polygon.io: 6 Tools for Financial Data
These tools let you programmatically access every type of financial data, from daily price summaries to individual tick-by-tick trades.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Polygon.io MCPGet Aggregates
Retrieves Open, High, Low, Close, Volume (OHLCV) price bars for a specified stock ticker and time period.
Get Company
Fetches detailed background information, including the industry classification, for...
List Dividends
Generates a list showing all historical cash dividend distributions for an asset.
List Quotes
Gets real-time, tick-by-tick quotes (NBBO) to show the current best bid and offer...
List Tickers
Queries and returns the full list of all financial tickers supported by the platform.
List Trades
Retrieves every recorded tick-by-tick trade that occurred for a specific stock ticker.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Polygon.io, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Polygon.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The struggle of context-switching in financial research
Right now, analyzing market trends means opening a brokerage terminal for quotes, then switching to a spreadsheet to calculate 52-week aggregates, and finally jumping over to a company website just to confirm the industry sector. You spend more time copying and pasting data between tabs than you do actually thinking about the investment.
With this MCP, your agent handles all that complexity. You ask one question—for example, 'What were the daily aggregates for TSLA in Q1?'—and it pulls the volume, open, high, low, and close data into a single, readable response. The workflow is immediate; the context stays put.
Polygon.io MCP gives you instant market validation
You don't have to manually check six different sources—one for trades, one for quotes, and another just for company metadata. The agent aggregates all these data points using tools like `list_trades`, `get_company`, and `list_quotes` into a single analytical output.
It means your analysis is grounded in comprehensive, verified market records the second you ask it. You stop assembling reports from disparate sources and start making decisions.
What Polygon.io MCP does for your AI
Need to understand a market trend but hate opening ten different tabs? This MCP lets you pull deep financial data directly through natural language queries. Your agent handles the complexity; you just ask questions about the stock market.
Whether you're analyzing historical performance or checking current liquidity, you get raw, structured data—from detailed company metadata to precise trade volumes. You can monitor how a stock behaved minute-by-minute or see every cash dividend paid over the last decade. Since Vinkius hosts this MCP in their catalog, connecting it is fast; just plug into your preferred AI client.
This means you spend zero time copying data between screens and all your focus stays on the analysis itself.
019e38d9-05db-7191-9996-64667d052279 How to set up Polygon.io MCP
The bottom line is you get deep market insights without leaving the conversation interface.
Subscribe to this MCP and enter your Polygon.io API Key into the client settings.
Ask your agent a specific question, for example: 'What were the daily aggregates for TSLA last month?'
The agent runs the necessary tools against the live financial data and returns the structured analysis directly in your chat.
Who uses Polygon.io MCP
This MCP serves anyone who needs to move beyond simple charting and actually model or validate financial theories. It's for people whose job requires synthesizing data from multiple, disparate sources—like a quant researcher validating a new trading signal or a fintech developer verifying market connectivity.
Needs to quickly pull historical aggregates and dividend listings for quarterly reports and financial modeling.
Must inspect tick-by-tick trades and quotes to validate complex trading strategies directly from the terminal environment.
Uses ticker metadata verification to build robust financial applications that rely on accurate market identifiers.
Benefits of connecting Polygon.io MCP
Stop switching between charting platforms and data sheets. You can now get daily aggregates using the get_aggregates tool and immediately analyze what that means for your report.
Validate complex strategies by getting tick-by-tick trades with list_trades. Instead of guessing market depth, you see the exact execution prices in real time.
Save hours researching company background. The get_company tool instantly gives you industry classifications and business descriptions without visiting a separate corporate website.
Build comprehensive financial models by running through historical dividend payments using the list_dividends tool, ensuring your cash flow projections are accurate.
Know exactly what data is available. Use list_tickers to check if a specific instrument is supported before writing any code or query.
Polygon.io MCP use cases
Validating a new investment theory
A quant researcher wants to know if volatility was higher last month than this month. They ask their agent to get daily aggregates for the past two months using get_aggregates. The agent returns the OHLCV data, allowing them to instantly compare volume and price movement without manual charting.
Preparing a client presentation
A financial analyst needs to prove a company's stable dividend record. They use list_dividends on the target ticker. The agent compiles the full history, showing consistent cash payments and ex-dividend dates for easy inclusion in slides.
Debugging an application connection
A fintech developer needs to ensure their system can handle a new stock symbol. They first run list_tickers to confirm support, then use get_company on the specific ticker to pull metadata and verify the industry classification before writing any code.
Real-time competitive analysis
A trader wants to know if a stock is currently experiencing heavy buying pressure. They ask for quotes using list_quotes. The agent returns the best bid and offer data, allowing them to make immediate decisions based on current market interest.
Polygon.io MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Treating it like a general search engine
Asking the agent 'What is the stock market doing?' and expecting a narrative answer. This MCP provides structured data, not commentary.
You must be specific. Instead of asking generally, use list_aggregates to check historical ranges for a specific ticker or use get_company to understand its sector.
Guessing the required timeframe
Simply requesting 'Show me volume data' without specifying the time range (e.g., 1 day, 7 days). The tool needs explicit parameters.
Always specify the window when calling get_aggregates or list_trades. For example, request 'hourly aggregates for the last 30 days'.
Overlooking available data types
Assuming that current quotes (list_quotes) include historical trade data. They are two distinct data streams.
If you need past trades, use list_trades. If you only want the immediate best bid and offer prices, call list_quotes.
When to use Polygon.io MCP
Use this MCP if your work requires high-fidelity, structured market data. Specifically, if you need to calculate historical performance metrics (use get_aggregates), validate a company's background details (get_company), or analyze the micro-movements of price and volume (list_trades). Don't use it if you are simply writing a report that requires general industry knowledge or qualitative market commentary; for those needs, standard web searches are better. If your need is only to check which stocks exist, list_tickers solves that without needing deeper data calls.
Frequently asked questions about Polygon.io MCP
How does Polygon.io MCP get real-time stock quotes? +
It uses the list_quotes tool to fetch tick-by-tick data, giving you the current best bid and offer prices (NBBO). This is critical for immediate trading decisions.
Can I check dividend history with Polygon.io MCP? +
Yes, running list_dividends pulls a comprehensive record of all historical cash dividends paid out by the company over time, helping you project future payouts.
What is the difference between get_aggregates and list_trades? +
get_aggregates summarizes price action (OHLCV) for a given period. list_trades, however, provides raw, individual records of every single trade that occurred during that time.
Do I need an API key to use Polygon.io MCP? +
Yes, you must subscribe and enter your personal Polygon.io API Key into the client settings for the agent to access the live financial data.
What if I want a list of all available stocks? +
Use the list_tickers tool. It queries the platform and returns the full, supported list of financial instruments you can analyze with other tools.