Bring Email Finder
to CrewAI
Learn how to connect Hunter to CrewAI 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 CrewAI?
When paired with CrewAI, Hunter becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Hunter tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Hunter in CrewAI
Hunter and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Hunter to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.