Featured

Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw

QwikClaw sets up and runs an always-on OpenClaw agent for you. One click, no config files, no server setup.

Deploy now
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free
Reach 47,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here

Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Waterfall lead enrichment for AI agents, cascading through Apollo, Clearbit, and Hunter to build complete lead profiles in a single call via MCP.

README.md

<!-- mcp-name: io.github.carsonlabs/leadenrich-mcp -->

LeadEnrich MCP Server

![License: MIT](https://opensource.org/licenses/MIT) ![Python 3.11+](https://www.python.org/downloads/) ![PyPI](https://pypi.org/project/leadenrich-mcp/) ![MCP](https://modelcontextprotocol.io) ![MCPize](https://mcpize.com/mcp/leadenrich-mcp?ref=YHCCR&utm_source=github&utm_medium=readme)

Waterfall lead enrichment for AI agents. Cascades through Apollo, Clearbit, and Hunter to build the most complete lead profile in a single call.

One-click install: Install on MCPize | pip install leadenrich-mcp

LeadEnrich MCP exposes lead and company enrichment through the Model Context Protocol (MCP), so tools like Claude and Cursor can run enrichment workflows directly. Give it an email, domain, or name and it returns a merged profile with field attribution showing which provider contributed each data point.

Quick Connect

1. Install and start the server

pip install leadenrich-mcp
leadenrich-mcp

The server starts on http://localhost:8300/mcp by default.

2a. Connect from Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "leadenrich": {
      "url": "http://localhost:8300/mcp"
    }
  }
}

2b. Connect from Claude Code

claude mcp add leadenrich --transport http http://localhost:8300/mcp

Tools

| Tool | Description | |------|-------------| | enrich_lead | Full waterfall enrichment for a single lead (email, domain, or name+domain) | | find_email | Discover an email from first name + last name + company domain | | enrich_company | Company firmographic data by domain (industry, size, revenue, etc.) | | enrich_batch | Batch enrich up to 25 leads concurrently | | check_usage | Quota, cost tracking, and remaining lookups | | health_check | Server status, configured providers, and cache stats |

How It Works

LeadEnrich uses a waterfall strategy: each provider fills gaps left by the previous one. When email is known, all providers run concurrently for speed. When only name+domain is provided, Apollo discovers the email first, then Clearbit and Hunter run in parallel.

Input (email / domain / name+domain)
         |
         v
  +-----------+     +-----------+     +----------+
  |   Apollo  | --> |  Clearbit | --> |  Hunter  |
  +-----------+     +-----------+     +----------+
  |  Contact  |     |  Company  |     |  Email   |
  |  Company  |     |  Person   |     |  Verify  |
  |  LinkedIn |     |  Firmo    |     |  Domain  |
  +-----------+     +-----------+     +----------+
         |               |                |
         v               v                v
  +------------------------------------------+
  |        Merged Profile                    |
  |  16+ fields with per-field attribution   |
  |  Confidence score + lookup cost          |
  +------------------------------------------+

Each field in the result includes attribution so you know exactly which provider it came from. No duplicate API calls thanks to built-in caching.

Pricing

| Tier | Cost | Details | |------|------|---------| | Free | $0.00 | 50 lookups/month | | 1 provider hit | $0.05/lookup | Single provider returned data | | 2 providers hit | $0.10/lookup | Two providers contributed fields | | 3 providers hit | $0.15/lookup | Full waterfall, maximum coverage |

Requirements

  • Python 3.11+
  • pip

Quick Start

git clone https://github.com/carsonlabs/leadenrich-mcp.git
cd leadenrich-mcp
pip install -r requirements.txt
python main.py

MCP endpoint:

  • http://localhost:8300/mcp

Environment Variables

| Variable | Description | Required | |----------|-------------|----------| | APOLLO_API_KEY | Apollo.io API key | No | | CLEARBIT_API_KEY | Clearbit API key | No | | HUNTER_API_KEY | Hunter.io API key | No | | LEADENRICH_API_KEY | Client auth key for usage metering | No | | LEADENRICH_FREE_TIER_LIMIT | Free tier limit (default: 50) | No | | PORT | Server port (default: 8300) | No |

All provider keys are optional. The server uses whichever providers are configured and skips the rest.

Example:

export APOLLO_API_KEY="your-apollo-key"
export CLEARBIT_API_KEY="your-clearbit-key"
export HUNTER_API_KEY="your-hunter-key"
python main.py

Running Options

Run directly:

python main.py

Run via FastMCP CLI:

fastmcp run main.py --transport streamable-http --port 8300

Tool Details

enrich_lead

Inputs:

  • email (optional): Contact email address (best identifier)
  • domain (optional): Company domain (e.g. "stripe.com")
  • first_name / last_name (optional): Contact name (combine with domain)
  • providers (optional): Limit which providers to use
  • api_key (optional): Your LeadEnrich API key

Returns merged lead profile with field attribution, confidence score, and lookup cost.

find_email

Inputs:

  • first_name (required): Contact's first name
  • last_name (required): Contact's last name
  • domain (required): Company domain

Returns discovered email with confidence score and verification status.

enrich_company

Input:

  • domain (required): Company domain

Returns company-level firmographic data: industry, size, revenue, description, location.

enrich_batch

Inputs:

  • leads (required): List of lead objects (max 25), each with optional email/domain/name
  • providers (optional): Limit which providers to use
  • api_key (optional): Your LeadEnrich API key

Returns list of enriched profiles with batch summary.

check_usage

Input:

  • api_key (optional): Your LeadEnrich API key

Returns usage stats: lookup count, cost, tier, remaining quota, and cache stats.

health_check

No input. Returns server status, configured providers, cache stats, and version info.

Try It

fastmcp list-tools main.py
fastmcp call-tool main.py health_check '{}'
fastmcp call-tool main.py enrich_lead '{"email":"jane@stripe.com"}'
fastmcp call-tool main.py find_email '{"first_name":"Jane","last_name":"Smith","domain":"stripe.com"}'
fastmcp call-tool main.py enrich_company '{"domain":"stripe.com"}'

Deployment

Smithery

This repo includes smithery.yaml for Smithery deployment.

  1. Push repository to GitHub
  2. Create/add server in Smithery
  3. Point Smithery to this repository

Docker / Hosting Platforms

A Dockerfile is included for Railway, Fly.io, and other container hosts.

# Railway
railway up

# Fly.io
fly launch
fly deploy

Set your provider API keys in your host environment.

Architecture

Agent (Claude, Cursor, etc.)
  -> MCP
LeadEnrich MCP Server (this repo)
  -> Apollo API    (contact + company data)
  -> Clearbit API  (person + firmographic data)
  -> Hunter API    (email finding + verification)

This server is a translation layer between MCP tool calls and multiple enrichment provider APIs, with built-in caching, usage metering, and waterfall merge logic.

Free vs Pro

| Tool | Free | Pro ($29/mo) | |------|------|-------------| | enrich_lead | Yes (Hunter only) | Yes (full waterfall: Apollo + Clearbit + Hunter) | | check_usage | Yes | Yes | | health_check | Yes | Yes | | find_email | - | Yes | | enrich_company | - | Yes | | enrich_batch | - | Yes |

Free tier gives you single-provider lookups via Hunter. Pro unlocks the full 3-provider waterfall, email finder, company enrichment, and batch operations.

Upgrade to Pro on MCPize — $29/mo or $290/yr.

---

Built by Freedom Engineers

Related

See related servers & alternatives →

Related MCP servers

Browse all →

Related guides

Hand-picked reading to help you choose and use Files & Docs servers.