How to Use the Intrinio MCP in CrewAI

Q: Can I filter Intrinio tools for specific CrewAI agents?

Yes, use the toolfilter option in the MCP server configuration. This allows you to restrict certain agents to specific tools like getstockprices while others access the full suite.

Deploy specialized agent crews for market analysis using the Intrinio MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Intrinio MCP to CrewAI

Create your Vinkius account to connect Intrinio to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Intrinio with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Specialized agent roles for Intrinio

Assign research tasks to specific agents in your crew. One agent can use `list_news` to monitor the wires, while another uses `get_stock_prices` to track performance. This keeps your agents focused. By splitting the work, your crew functions like a professional trading desk.

Autonomous market surveillance

Run your crew without constant supervision. Use `get_ipo_calendar` to identify new opportunities and let your agents summarize the findings for you. It’s designed for high-volume monitoring. Your crew processes the data in the background, reporting back only when something interesting happens.

Hierarchical execution with CrewAI

Organize your agents in a hierarchy to manage complex analysis. The manager agent can call `search_companies` to find the right ticker before delegating to analysts. This structure prevents errors and ensures your data is consistent. Your crew handles the entire research lifecycle from discovery to report generation.

Setup guide

Set up Intrinio MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Intrinio tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Intrinio Analyst",
    goal="Access and analyze Intrinio data via MCP.",
    backstory="Expert analyst with direct Intrinio access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Intrinio transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Intrinio Analyst",
        goal="Access and analyze Intrinio data via MCP.",
        backstory="Expert analyst with direct Intrinio access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Intrinio transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Intrinio. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Intrinio now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Intrinio MCP in CrewAI

Include the server URL in your agent's mcps list. CrewAI handles the transport, making the tools available to your agents instantly.

Yes, use the tool_filter option in the MCP server configuration. This allows you to restrict certain agents to specific tools like `get_stock_prices` while others access the full suite.

Yes, the framework uses shared memory. If one agent fetches data with `get_financials`, the other agents in the crew can access that information for their own analysis.

Yes, the connection remains active as long as your session is live. The tools are designed to handle repeated requests throughout the lifetime of your crew.

The server architecture ensures that all retrieved news and price data remains contained within your local session memory. No data is shared with external parties during the execution process.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript