How to Use the Captain Data MCP in CrewAI

Deploy specialized agent teams to research, filter, and enrich B2B leads autonomously using CrewAI and Captain Data.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Captain Data MCP to CrewAI

Create your Vinkius account to connect Captain Data 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 Captain Data with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run collaborative lead research in CrewAI

Let your agents divide and conquer. One CrewAI agent can focus on finding prospects using `search_people`, while a second agent takes those names and runs `enrich_person` to get their work history. The crew shares memory, so the analyst agent knows exactly which prospects the researcher just found. No manual handoffs required.

Limit tool access for autonomous agents with the CrewAI MCP Server

You don't want every agent having full access to your account. The server lets you filter which tools are exposed to which crew members using the HTTP setup. Give your researcher agent access to `find_company`, but keep your quota-heavy `list_automation_jobs` restricted to your manager agent.

Prevent runaway API spend in autonomous crews using MCP

Autonomous crews can run wild if left unchecked. You can assign a monitor agent to check `get_api_quotas` before allowing the rest of the crew to trigger new enrichment tasks. If your remaining credits drop below your threshold, the monitor agent pauses the execution and alerts your team.

Setup guide

Set up Captain Data 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 Captain Data tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Captain Data 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 Captain Data. 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 Captain Data 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 Captain Data MCP in CrewAI

You can pass the server URL directly in the agent definition. CrewAI automatically fetches the tools and makes them available to that specific agent.

Yes, they share the same backend connection. They can coordinate tasks like `search_companies` and `enrich_company` without opening separate tunnels.

You can set up a manager agent to pace the tasks. Have it check `get_api_quotas` to slow down the crew when limits are close.

The Python library supports stdio, SSE, and HTTP. Choose HTTP for long-running deployments where stability is critical.

Yes, all profile and company data processed by the crew is encrypted. The Vinkius sandbox ensures your API keys and extracted lead details never leak outside your execution environment.

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