How to Use the Hunter MCP in Google ADK

Q: What is the benefit of using Hunter with long-context Gemini models?

Gemini can analyze thousands of emails returned by domainsearch at once. It uses its massive context window to map out organizational hierarchies and find the best person to contact.

Let your Google ADK enterprise agents find and verify professional email lists using raw data pulled straight into Vertex AI.

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Connect Hunter MCP to Google ADK

Create your Vinkius account to connect Hunter to Google ADK 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 Google ADK

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Google ADK agents pull domain leads

The `domain_search` tool queries any business domain to compile a list of active, public email addresses. Your Gemini-powered agents can run this tool to build target accounts lists directly from your BigQuery datasets. By running `email_count` first, your enterprise workflows can estimate lead generation costs before triggering large API calls. This keeps your data operations highly efficient.

Clean outbound lists using Google ADK

The `email_verifier` tool checks the status of any email address to confirm it actually accepts mail. Your agent can run this check in real time before exporting contacts to your CRM. This step is crucial for protecting your corporate email servers. It prevents your IP addresses from getting flagged as spammers by target mail servers.

Manage active campaigns via this MCP Server

The `list_campaigns` tool returns a full index of your active email outreach efforts. Your agent can monitor performance metrics and trace recipient behaviors without logging into external dashboards. Using `list_recipients` alongside this allows the agent to check exactly who has been contacted. It ensures your automated pipelines never send duplicate messages to the same prospect.

Setup guide

Set up Hunter MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Hunter tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Hunter_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Hunter tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

You initialize the toolset class using your Vinkius HTTP endpoint URL. Pass this toolset directly to your LlmAgent constructor in Python. Your MCP server can then call any of the ten available tools on demand.

Yes, you can loop through your BigQuery tables and verify addresses one by one. The agent calls `email_verifier` for each row, updating your database with the deliverability status of each contact.

You can restrict the tools exposed to the agent by setting a tool name filter during initialization. This prevents the agent from calling campaign-modifying tools when it only needs to read lead data.

Gemini can analyze thousands of emails returned by `domain_search` at once. It uses its massive context window to map out organizational hierarchies and find the best person to contact.

All queried email addresses and domain names pass through a zero-trust, isolated V8 MCP sandbox. Vinkius does not log or persist any of the contact records processed by the tools. Your enterprise data remains secure and compliant with internal privacy policies.

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