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 Google ADK?
Google ADK natively supports Polygon.io as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- —
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
- —
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Polygon.io
- —
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
- —
Seamless integration with Google Cloud services means you can combine Polygon.io tools with BigQuery, Vertex AI, and Cloud Functions
Polygon.io in Google ADK
Polygon.io and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Polygon.io to Google ADK 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 Google ADK
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 Google ADK 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 Google ADK
Every tool call from Google ADK 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 Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
Explore More MCP Servers
View all →
Balena
10 toolsManage IoT fleets and edge devices via Balena — list devices, manage environment variables, and track releases directly from your AI agent.

Jina AI
6 toolsSearch and read the web for AI — audit search results and reader content via AI.

Meta Ads
10 toolsEquip your AI agent with direct access to Meta Ads — manage Facebook and Instagram campaigns, track ad performance, and optimize spend without opening Meta Ads Manager.

Bitbucket
10 toolsManage your Git repositories via Bitbucket — list pull requests, commits, and pipelines directly from any AI agent.
