How to Use the ZoomInfo MCP in CrewAI

Coordinate autonomous ZoomInfo operations using CrewAI.

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Connect ZoomInfo MCP to CrewAI

Create your Vinkius account to connect ZoomInfo 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 ZoomInfo with CrewAI

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Run collaborative company research with CrewAI

Assign specialized roles: one agent runs `search_companies`, another reviews the results, and a third summarizes the findings. The agents share memory throughout the process. This structured approach means you're not just running tools; you're modeling an entire team of researchers analyzing market data autonomously.

Build full lead qualification pipelines with CrewAI

A 'Scout' agent can run `search_contacts`, and a 'Specialist' agent takes those contacts to run `enrich_company`. The system passes the output of one stage directly into the next. This hierarchical execution allows you to build complex qualification processes that mimic human sales operations without needing manual oversight.

Analyze market intent using CrewAI

You can set up a 'Monitor' agent whose job is solely to track `search_intent` results. It aggregates data from multiple runs, building a holistic view of what the target industry cares about. This turns simple queries into deep intelligence reports. The crew handles the monitoring and reporting loop so you don’t have to write it.

Setup guide

Set up ZoomInfo 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 ZoomInfo tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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Common questions about ZoomInfo MCP in CrewAI

You define a specialized 'Researcher' agent whose primary task is running `search_companies`. The crew then takes that data and passes it to other agents for subsequent analysis.

Absolutely. You can set up a 'Data Prep' agent whose only job is calling `enrich_contact` on raw lead data, ensuring that the next agent receives clean, usable information.

The crew excels at generating comprehensive situational analyses. It can combine company news (`get_company_news`) with contact data to produce a full profile briefing automatically.

Yes, the server's tool definitions are ideal for crewed operations. The structure supports multiple agents collaborating on a single goal using shared memory and defined roles.

This server deals with company and contact records. Remember that the underlying data is PII (Personally Identifiable Information), so all agents must respect access boundaries.

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