Can I find all professional email addresses for a specific company?

Yes. Use `search_domain_emails` with a domain (e.g., 'stripe.com') or company name (e.g., 'Stripe') to retrieve all professional emails found for that organization. Each result includes the email, confidence score, position, and source URLs. Use `get_domain_email_count` to preview how many emails are available before using search credits.

Can I verify if an email address is valid before sending outreach?

Yes. The `verify_email_address` tool checks the validity and deliverability of any email address. It returns a status (deliverable, undeliverable, risky, unknown), confidence score, and details about the email server (MX records, SMTP check, accept-all detection). This prevents bounces and protects your sender reputation.

How does Hunter API authentication work?

Hunter uses an API Key passed as a query parameter (`?api_key=YOUR_KEY`) in all requests to `api.hunter.io/v2`. This differs from the typical Bearer token pattern. Your API key is available in the Hunter dashboard under Account > API. Free accounts include 25 searches and 50 verifications per month.

INSTANT PLUG AND PLAY

Hunter MCP Server for Google ADKGive Google ADK instant access to 12 tools to Create New Lead, Enrich Email Data, Find Person Email, and more

Name: Hunter
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Hunter as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Use with Your AI Agent

Ask AI about this App Connector for Google ADK

Open in ChatGPT Open in Claude Open in Perplexity

The Hunter app connector for Google ADK is a standout in the Sales Automation category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="hunter_alternative_agent",
    instruction=(
        "You help users interact with Hunter "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Hunter MCP Server

Connect your Hunter account to any AI agent and power your email prospecting through natural conversation.

Google ADK natively supports Hunter as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Domain Search — Find all professional email addresses associated with a domain or company name
Email Finder — Discover the most likely email address for a specific person by name and company
Email Verification — Check the validity and deliverability of any email address with confidence scores
Email Count — Check how many email addresses are available for a domain before searching
Contact Enrichment — Retrieve all available professional data (title, company, social profiles) for an email address
Lead Management — Create, list, update, and delete leads in your Hunter CRM with lead list organization
Account Monitoring — Track remaining API credits and account usage

The Hunter MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Hunter tools available for Google ADK

When Google ADK connects to Hunter through Vinkius, your AI agent gets direct access to every tool listed below — spanning email-finder, domain-search, email-verification, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_new_lead

Save lead to CRM

enrich_email_data

Get contact intel

find_person_email

Find personal email

get_account_usage

Check credits

get_domain_email_count

Check email availability

get_lead_details

Get lead info

list_lead_folders

List lead lists

list_saved_leads

List lead profiles

remove_lead

Delete lead record

search_domain_emails

Find emails for domain

update_lead_info

Modify lead data

verify_email_address

Check deliverability

Connect Hunter to Google ADK via MCP

Follow these steps to wire Hunter into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from Hunter via MCP

Why Use Google ADK with the Hunter MCP Server

Google ADK provides unique advantages when paired with Hunter through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Hunter

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Hunter tools with BigQuery, Vertex AI, and Cloud Functions

Hunter + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Hunter MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Hunter and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Hunter tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Hunter regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Hunter

Example Prompts for Hunter in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Hunter immediately.

"Find all emails at stripe.com and verify the CTO's email address."

"Find the email for Sarah Chen at Acme Corp and enrich her contact data."

"Check my Hunter account credits and list all saved leads."

Troubleshooting Hunter MCP Server with Google ADK

Common issues when connecting Hunter to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Hunter + Google ADK FAQ

Common questions about integrating Hunter MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.