Polygon.io MCP Server for CrewAIGive CrewAI 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

Connect your CrewAI agents to Polygon.io through Vinkius, pass the Edge URL in the `mcps` parameter and every Polygon.io tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Polygon.io Specialist",
    goal="Help users interact with Polygon.io effectively",
    backstory=(
        "You are an expert at leveraging Polygon.io tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Polygon.io "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Polygon.io becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Polygon.io tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from Polygon.io

Why Use CrewAI with the Polygon.io MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Polygon.io through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Polygon.io + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Polygon.io for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Polygon.io, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Polygon.io tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Polygon.io against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Polygon.io in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Polygon.io + CrewAI FAQ

Common questions about integrating Polygon.io MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

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