How to Use the Hunter MCP in CrewAI

Q: Can I filter which Hunter tools my CrewAI agent sees?

You can use the toolfilter option to restrict your agents to specific functions. This ensures they only perform the tasks you approve.

Deploy a crew of specialized agents using Hunter to automate your entire lead generation process.

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Connect Hunter MCP to CrewAI

Create your Vinkius account to connect Hunter 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 Hunter with CrewAI

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Perplexity

Role-based prospecting for CrewAI

Assign a researcher agent to use `domain_search` while a manager agent reviews the findings. This splits the work so your crew stays efficient. It allows for complex operations where agents pass data to one another. You build a pipeline that starts with a domain and ends with a verified lead list.

Advanced lead list management in CrewAI

Your agents use `list_lead_lists` to organize prospects into specific buckets. They can sort and filter data based on the results they find. This keeps your database organized. You don't have to manually manage your lists; the agents keep everything updated as they discover new contacts.

Autonomous verification cycles in CrewAI

A dedicated monitor agent calls `email_verifier` on every new lead. If the address is invalid, the agent removes it from the queue before it hits your mailing tool. This keeps your contact quality high. The crew self-regulates, ensuring you only spend your time on prospects who can actually receive your messages.

Setup guide

Set up Hunter 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 Hunter tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Hunter 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 Hunter.io. 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 Hunter MCP in CrewAI

You include the server URL in your agent configuration. The MCP protocol handles the communication between your crew and the data source.

You can use the tool_filter option to restrict your agents to specific functions. This ensures they only perform the tasks you approve.

Yes, agents can share the output of their searches across the crew. This prevents redundant work and keeps your agents in sync.

You provide your API token to the server endpoint. The MCP connection then manages the auth for every tool call your agents make.

Your campaign data and lead lists are handled within a zero-trust architecture. We only access the data you explicitly query, and all connections are transient.

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