Bring Email Finder
to Google ADK
Learn how to connect Hunter to Google ADK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Hunter MCP Server?
Connect your Hunter account to any AI agent and power your email prospecting through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your Hunter API Key from the account dashboard
3. Start finding emails from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Sales Teams — find decision-maker emails, verify addresses before outreach, and save leads to your CRM
- Recruiters — discover candidate contact information by name and company
- Marketing Teams — build verified email lists, enrich contact databases, and manage prospecting pipelines
Built-in capabilities (12)
Save lead to CRM
Get contact intel
Find personal email
Check credits
Check email availability
Get lead info
List lead lists
List lead profiles
Delete lead record
Find emails for domain
Modify lead data
Check deliverability
Why Google ADK?
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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Hunter
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Hunter tools with BigQuery, Vertex AI, and Cloud Functions
Hunter in Google ADK
Hunter and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Hunter to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Hunter in Google ADK
The Hunter 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Hunter for Google ADK
Every tool call from Google ADK to the Hunter MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
McpToolset not found
Update: pip install --upgrade google-adk
