How to Use the Hunter MCP in CrewAI

Q: Can I restrict which Hunter MCP tools a CrewAI agent can use?

Yes, you can use MCPServerHTTP along with a toolfilter in your Python script. This allows you to restrict an agent to only verifyemailaddress while blocking CRM access.

Deploy specialized agent teams to research and verify leads using CrewAI and Hunter.

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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

Multi-agent lead research teams

CrewAI excels at running specialized agents that work together on complex prospecting tasks. Your Researcher agent can find targets using `search_domain_emails`, while your Verifier agent checks each address with `verify_email_address`. This division of labor prevents a single agent from getting bogged down in verification details. The agents pass data back and forth through shared memory, refining the lead list before any outreach begins.

Autonomous CRM syncing via this MCP Server

Let your agents manage your lead pipeline without manual intervention. Once the Verifier agent confirms a contact is valid, a Sync agent uses `create_new_lead` to save the profile to your CRM. If the contact details change, the agent can call `update_lead_info` to keep your records current. This automated loop ensures your sales pipeline is always populated with fresh, deliverable leads.

Budget-conscious agent operations

Prevent autonomous agents from burning through your lookup credits by assigning a Moderator agent. This agent runs `get_account_usage` before allowing the crew to execute heavy batch lookups. You can also use `get_domain_email_count` to estimate the size of a target domain before committing to a deep search. This keeps your API costs predictable while maintaining high-volume discovery.

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. 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 can pass your secure Vinkius MCP URL directly in the agent's `mcps` list. The agent automatically discovers tools like `find_person_email` and uses them during its tasks.

Yes, you can use `MCPServerHTTP` along with a `tool_filter` in your Python script. This allows you to restrict an agent to only `verify_email_address` while blocking CRM access.

The agents utilize CrewAI's shared memory to pass the results of `enrich_email_data` to subsequent tasks. This lets a writing agent draft personalized emails using the enriched data.

Yes, this server supports stdio, SSE, and Streamable HTTP transports. You can configure the connection method that best fits your local or cloud deployment.

All search queries and lead profiles processed by your agent crew run within isolated, ephemeral V8 sandboxes. No search terms or lead records are logged or stored on Vinkius servers.

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