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// ai & llm

Tomba Local MCP

Tomba MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Tomba.io's powerful email discovery and verification APIs. It allows Large Language Models (LLMs) and AI applications to access comprehensive email intelligence capabilities through a standardized protocol

Official Integration
  1. 01
    mcp email finderIn Tomba Local MCPAI & LLM
  2. via mcp server
  3. 02
  4. 03

    Result

    richard@piedpiper.comvalid

// 01 · overview

Tomba in Tomba Local MCP

Tomba Model Context Protocol Server

The Tomba MCP Server enables Large Language Models and AI applications to access Tomba's email intelligence APIs through the standardized Model Context Protocol. Built for developers who want to add email capabilities to AI agents.

What is MCP?

Model Context Protocol (MCP) is an open standard that allows AI models to securely interact with external data sources and tools. It provides a standardized way to:

  • Connect AI models with APIs and databases
  • Give models access to real-time information
  • Enable AI agents to take actions on behalf of users
  • Maintain security and privacy controls

Tomba MCP Capabilities

The Tomba MCP server provides these tools to AI models:

Email Discovery

  • Email Finder: Find professional emails by first name, last name, and domain
  • Domain Search: Discover all email addresses associated with a company
  • LinkedIn Finder: Extract emails from LinkedIn profile URLs
  • Author Finder: Find author emails from article URLs

Email Verification

  • Email Verifier: Check email deliverability and validity
  • Status Checker: Get detailed verification status

Data Enrichment

  • Email Enrichment: Get detailed information about an email address
  • Company Data: Access company information and employee count

Installation

# Install via npm
npm install -g @tomba-io/tomba-mcp-server

# Or use npx
npx @tomba-io/tomba-mcp-server

Configuration

Add to your MCP client configuration (e.g., Claude Desktop):

{
  "mcpServers": {
    "tomba": {
      "command": "npx",
      "args": ["-y", "@tomba-io/tomba-mcp-server"],
      "env": {
        "TOMBA_API_KEY": "your-api-key",
        "TOMBA_API_SECRET": "your-api-secret"
      }
    }
  }
}

Compatible AI Tools

  • Claude Desktop
  • Continue.dev
  • Cline (VS Code extension)
  • Any MCP-compatible AI application

Example Usage

Once configured, you can ask your AI assistant:

  • "Find the email for Jane Doe at example.com"
  • "Search for all employees at TechStartup Inc"
  • "Verify john@company.com"
  • "Get information about this email address"
  • "Find emails from this LinkedIn profile"

Documentation

For complete setup instructions, API reference, and examples, visit our MCP Server documentation.

Open Source

The Tomba MCP Server is open source and available on GitHub. Contributions welcome!

Support

  • Documentation: docs.tomba.io
  • GitHub Issues: Report bugs and request features
  • Community: Join discussions in GitHub Discussions

// customers

What teams say about Tomba

  • The data is always fresh, and the n8n integration is excellent for my use case. Support is very responsive overall. I'd rate it 9/10.
    Benjie MalinaoCo-Founder & CTO, Channel Automation
  • Tomba is my favorite tool for lead finding and verification because it gets the job done. … Heck, you can even export your prospects from tomba to your favourite CRM like Hubspot directly or to other CRM's via Zapier, Pabbly, or Integrately if you like!
    KC W.Chief Executive Officervia G2

// quick start

Make your first call in a minute

Free account, real API key, the same endpoints Enterprise customers use.

  1. 1Create a free account25 searches a month. No card.
  2. 2Copy your key and secretFrom API keys in the dashboard.
  3. 3Call the APIPaste the request; the answer is JSON.
curl "https://api.tomba.io/v1/email-finder?domain=piedpiper.com&first_name=Richard&last_name=Hendricks" \
  -H "X-Tomba-Key: $TOMBA_API_KEY" \
  -H "X-Tomba-Secret: $TOMBA_SECRET_KEY"
Response
200 OK· 1 search credit
{
  "data": {
    "email": "richard@piedpiper.com",
    "first_name": "Richard",
    "last_name": "Hendricks",
    "full_name": "Richard Hendricks",
    "website_url": "piedpiper.com",
    "company": "Pied Piper",
    "pattern": "{first}",
    "department": "executive",
    "type": "personal",
    "position": "CEO",
    "country": "US",
    "gender": "male",
    "twitter": null,
    "linkedin": "https://www.linkedin.com/in/richard-hendricks",
    "score": 100,
    "accept_all": false,
    "phone_number": true,
    "verification": {
      "date": "2025-01-15T10:32:00+01:00",
      "status": "valid"
    },
    "sources": [
      {
        "uri": "https://piedpiper.com/blog/engineering",
        "website_url": "piedpiper.com",
        "extracted_on": "2024-06-01T09:14:07+01:00",
        "last_seen_on": "2025-01-10T17:02:44+01:00",
        "still_on_page": true
      }
    ],
    "phone_data": []
  }
}