Polygon.io MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Get Aggregates, Get Company, List Dividends, and more

Name: Polygon.io
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Polygon.io through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Polygon.io MCP Server for Pydantic AI is a standout in the Money Moves category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Polygon.io "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Polygon.io?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About 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.

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.

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

The Polygon.io MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Polygon.io tools available for Pydantic AI

When Pydantic AI connects to Polygon.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning stock-market, trading-data, financial-analysis, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get aggregates on Polygon.io

Get aggregate bars for a stock

get

Get company on Polygon.io

Get company details for a ticker

list

List dividends on Polygon.io

List historical dividends

list

List quotes on Polygon.io

Get tick-by-tick quotes (NBBO)

list

List tickers on Polygon.io

io. Query all supported tickers

list

List trades on Polygon.io

Get tick-by-tick trades

Connect Polygon.io to Pydantic AI via MCP

Follow these steps to wire Polygon.io into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from Polygon.io with type-safe schemas

Why Use Pydantic AI with the Polygon.io MCP Server

Pydantic AI provides unique advantages when paired with Polygon.io through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Polygon.io integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Polygon.io connection logic from agent behavior for testable, maintainable code

Polygon.io + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Polygon.io MCP Server delivers measurable value.

Type-safe data pipelines: query Polygon.io with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Polygon.io tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Polygon.io and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Polygon.io responses and write comprehensive agent tests

Example Prompts for Polygon.io in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Polygon.io immediately.

"Get company details and industry for ticker NVDA."

"Show me the historical dividends for MSFT."

"Get daily aggregate bars for TSLA from 2024-01-01 to 2024-01-10."

Troubleshooting Polygon.io MCP Server with Pydantic AI

Common issues when connecting Polygon.io to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Polygon.io + Pydantic AI FAQ

Common questions about integrating Polygon.io MCP Server with Pydantic AI.

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.