
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-mcp-server
# Or use npx
npx @tomba-mcp-server
Configuration
Add to your MCP client configuration (e.g., Claude Desktop):
{
"mcpServers": {
"tomba": {
"command": "npx",
"args": ["-y", "@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
Quick Links
Information
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"The best part is how well it scales. We've processed millions of requests without any issues."