Leadenrich Mcp

What is Leadenrich Mcp?

Leadenrich Mcp is a waterfall lead enrichment server that implements the Model Context Protocol (MCP). It cascades through Apollo, Clearbit, and Hunter to build the most complete lead profile in a single call, returning merged profiles with per-field attribution. It is designed for AI agents like Claude and Cursor to run enrichment workflows directly.

How to use Leadenrich Mcp?

Install via pip install leadenrich-mcp and start the server with leadenrich-mcp (defaults to http://localhost:8300/mcp). Connect from Claude Desktop by adding the server URL to claude_desktop_config.json, or from Claude Code using claude mcp add leadenrich --transport http http://localhost:8300/mcp. Provider API keys (Apollo, Clearbit, Hunter) are set as environment variables; all are optional.

Key features of Leadenrich Mcp

• Waterfall enrichment across Apollo, Clearbit, and Hunter
• Field attribution showing which provider contributed each data point
• Built-in caching to avoid duplicate API calls
• Usage metering with free tier and per-lookup pricing
• Batch enrichment of up to 25 leads concurrently
• Email discovery from first name, last name, and company domain

Use cases of Leadenrich Mcp

• Enriching a single lead by email, domain, or name+domain for sales outreach
• Discovering a prospect’s email from their name and company domain
• Retrieving company firmographic data (industry, size, revenue) for account research
• Batch enriching multiple leads to update a CRM or database

FAQ from Leadenrich Mcp

What providers does Leadenrich Mcp use?

Apollo (contact, company, LinkedIn data), Clearbit (person, firmographic data), and Hunter (email finding and verification).

Are all provider API keys required?

No. Each provider key is optional; the server uses whichever providers are configured and skips the rest.

What is the free tier?

The free tier gives 50 lookups per month using only Hunter (single-provider lookups). Pro ($29/mo) unlocks the full three-provider waterfall, email finder, company enrichment, and batch operations.

How does pricing work?

Pricing is per lookup based on how many providers return data: $0.05 for one provider, $0.10 for two, $0.15 for three. Free tier covers 50 lookups/month.

What are the runtime requirements?

Python 3.11+ and pip. The server can run locally, via Docker, or on hosting platforms like Railway and Fly.io.