Stop Context-Switching for B2B Research

You're in the middle of building, analyzing, or strategizing, and you need to quickly verify an email, find contacts at a company, or pull B2B data. Instead of opening another tab, logging into Hunter, and manually searching, just ask your AI assistant.

The Hunter MCP server brings Hunter.io's B2B database directly into your LLM workflow. No API calls to write, no dashboard to navigate – just natural language queries that get you the data you need without breaking your flow.

Why This Beats the Alternative

Instead of this workflow:

1. Switch to Hunter.io dashboard
2. Search for company domain
3. Copy/paste results
4. Switch back to your work
5. Repeat for every lookup

You get this:

• "Find all email addresses for acme-corp.com"
• "Verify [email protected] and tell me the confidence score"
• "Get company details for that domain we discussed earlier"
• "Add Sarah's contact info to my leads with a note about our conversation"

All within your existing AI conversation, with full context of what you're working on.

Built for Real B2B Workflows

This isn't just about finding emails – it's about seamless B2B intelligence that fits into how you actually work:

Prospect Research: "Pull all contacts from three competitors and analyze their team structure" – get comprehensive data without manual hunting across multiple domains.

Lead Qualification: "Verify these 20 email addresses from my outreach list and sort by deliverability confidence" – bulk operations through natural language instead of CSV uploads.

Competitive Intelligence: "Find the leadership team at [company] and enrich their profiles with current roles" – comprehensive research in one request.

Pipeline Management: "Save all verified contacts from today's research as leads with the tag 'Q4-outreach'" – data flows directly into your Hunter leads without manual entry.

Quick Integration, Immediate Results

Get this running in your Claude Desktop in under 5 minutes:

# Clone and install
git clone https://github.com/hunter-io/hunter-mcp.git
cd hunter-mcp

# One-command setup for Claude Desktop
mcp install main.py -v HUNTER_API_KEY=your_api_key

Add to your MCP config:

{
  "mcpServers": {
    "hunter-mcp": {
      "command": "uv",
      "args": ["run", "--with", "mcp[cli]", "mcp", "run", "PATH_TO_hunter-mcp/main.py"],
      "env": {
        "HUNTER_API_KEY": "your_hunter_api_key"
      }
    }
  }
}

That's it. Your next conversation with Claude can include Hunter data lookups.

What You Get Access To

Core Hunter Tools:

• Domain Search: Find all email addresses associated with a company domain
• Email Finder: Locate specific person's email at a company
• Email Verifier: Check deliverability and confidence scores
• Email Enrichment: Get additional profile data for known contacts
• Company Enrichment: Pull comprehensive company information
• Lead Management: Save and organize contacts directly in Hunter

Natural Language Interface: Instead of learning Hunter's API parameters, just describe what you need. The MCP server handles the translation between your intent and Hunter's endpoints.

Perfect for Development Teams

If you're building anything that touches B2B data – CRM integrations, lead generation tools, sales automation, or market research platforms – this server turns your AI assistant into a B2B data research partner.

Debug API integrations by quickly verifying test data, validate prospect lists without leaving your IDE, or research competitive landscapes while planning features. The data flows naturally into your existing development conversations.

Ready to Try?

The Hunter MCP server eliminates the friction between needing B2B data and getting it. If you're already using Hunter.io and working with MCP-compatible AI tools, this integration will save you dozens of context switches every week.

Get started with the Hunter MCP server and bring B2B intelligence directly into your AI workflow.