How to Use the Finnhub MCP in CrewAI

Deploy autonomous research crews with the Finnhub MCP Server and CrewAI multi-agent orchestration.

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Connect Finnhub MCP to CrewAI

Create your Vinkius account to connect Finnhub 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.

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Setup Finnhub with CrewAI

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Claude

Perplexity

Collaborative agent intelligence

Run a crew where one agent gathers news via `get_market_news` and another analyzes it. They share memory to build a complete market view. You assign roles to each agent. This specialization ensures that one agent focuses on data while the other focuses on synthesis.

Autonomous market monitoring

Your crew uses `get_stock_quote` to monitor shifts in real-time. It acts without you, escalating alerts when prices cross your thresholds. It runs in a loop to keep your data fresh. You set the parameters, and the crew performs the work 24/7.

Selective tool exposure

Limit which agents can access specific tools like `get_basic_financials` or `get_company_profile`. You control exactly what each team member can do. This keeps your agents focused. By restricting tool access, you ensure each agent only performs its designated task.

Setup guide

Set up Finnhub 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 Finnhub tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Finnhub 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="Finnhub Analyst",
        goal="Access and analyze Finnhub data via MCP.",
        backstory="Expert analyst with direct Finnhub access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Finnhub 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 Finnhub. 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.

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

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One

place for every integration

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

Common questions about Finnhub MCP in CrewAI

Pass the Vinkius URL directly to your agent configuration. Your agents will automatically detect the available tools and start using them for their tasks.

Yes, the agents use shared memory to pass results between tasks. If one agent finds a ticker, the rest of the crew can use it for further analysis.

You can assign tools to the manager agent or individual workers. This allows for complex delegations where the manager decides which agent needs the data.

Use the MCP inspector to verify tool responses before deploying your crew. This ensures your agents receive the data they expect during operations.

Your data is handled within an ephemeral sandbox. Each session is wiped after execution, protecting your proprietary research and API interactions.

Use it with your favorite AI tools

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