Email Intelligence MCP Server

Find, verify, and pattern-detect business email addresses for AI agents.

View on Apify | MCP Endpoint

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What It Does

Give AI agents the ability to find business email addresses, verify deliverability, and detect company email patterns — with one tool call.

• Find emails from name + domain via Hunter.io → Clearbit → pattern waterfall
• Verify deliverability via MX lookup + SMTP connectivity check
• Detect company patterns — infer email format from domain + WHOIS

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Quick Start

Add to your AI agent:

{
  "mcpServers": {
    "email-intelligence-mcp": {
      "url": "https://email-intelligence-mcp.apify.actor/mcp"
    }
  }
}

Or with authentication:

{
  "mcpServers": {
    "email-intelligence-mcp": {
      "url": "https://email-intelligence-mcp.apify.actor/mcp?token=YOUR_APIFY_TOKEN"
    }
  }
}

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Tools

Tool	Price	Description
find_email	$0.05	Find email from name + domain
verify_email	$0.02	Verify deliverability via MX + SMTP
detect_pattern	$0.02	Detect company email format from domain

find_email

When to call: Persona: Sales recruiter, B2B lead generator, or AI agent doing outreach. Scenario: Finding a decision-maker's email at a company before cold outreach. Example AI prompt: "Find the email address for Sarah Chen at Stripe, if it exists."

verify_email

When to call: Persona: Email marketer or AI agent doing outreach. Scenario: Verifying a list of emails before sending a campaign — checking MX records and SMTP connectivity. Example AI prompt: "Verify these emails before we send the campaign: john@company.com, jane@company.com, invalid-email@not-a-domain.xyz"

detect_pattern

When to call: Persona: Sales intelligence analyst or AI agent building lead lists. Scenario: Detecting the company email format (first.last@domain vs firstinitial.last@domain) before guessing multiple emails to verify. Example AI prompt: "What is the email format at Shopify? Are they using first.last or first.last@shopify.com?"

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Example Calls

Find Email

find_email(full_name="Sarah Chen", domain="stripe.com")

Returns:

{
  "email": "sarah.chen@stripe.com",
  "score": 96,
  "confidence": "verified",
  "method": "hunter.io",
  "first_name": "sarah",
  "last_name": "chen"
}

Verify Email

verify_email(email="sarah.chen@stripe.com")

Returns:

{
  "valid": true,
  "reason": "MX + SMTP connectivity confirmed",
  "mx_host": "aspmx.l.google.com",
  "smtp_port": 587,
  "domain": "stripe.com",
  "deliverable": "likely"
}

Detect Pattern

detect_pattern(domain="shopify.com")

Returns:

{
  "domain": "shopify.com",
  "company_name": "Shopify Inc.",
  "mx_confirmed": true,
  "patterns": [
    { "pattern": "{first}.{last}@shopify.com", "confidence": "high" },
    { "pattern": "{first}{last}@shopify.com", "confidence": "medium" }
  ],
  "most_likely": { "pattern": "{first}.{last}@shopify.com", "confidence": "high" }
}

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How It Works

find_email — Waterfall Search

Step 1: Hunter.io API
  → Returns email + confidence score if found
  → Stop if found, otherwise continue

Step 2: Clearbit API
  → Returns email if person found in database
  → Stop if found, otherwise continue

Step 3: Pattern Inference
  → Check MX records for domain
  → Return first.last@domain as most likely
  → List all tried patterns in response

verify_email — MX + SMTP

Step 1: Parse email, extract domain
Step 2: DNS MX lookup — does domain accept email?
Step 3: TCP socket connect to MX server (ports 25, 587, 465)
Step 4: Return deliverability verdict

detect_pattern — Domain Analysis

Step 1: WHOIS lookup for company name + registrar
Step 2: Hunter.io domain search for real email samples
Step 3: Infer common B2B patterns from domain
Step 4: MX verification to confirm domain accepts email
Step 5: Return ranked patterns with confidence scores

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Data Sources

Source	What's Used For	API
Hunter.io	Email finder + domain search	Free tier (25/month)
Clearbit	Person/company data	Free tier (50/month)
DNS/MX	MX record lookup	Built-in Node.js
WHOIS	Company name + registrar	Free (whoissxmlapi.com)

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Use Cases

Outbound Sales

"Find the VP of Sales at Notion and verify their email before we call" → AI calls find_email → Returns first.last@notion.com → AI calls verify_email → Confirms deliverable → AI calls detect_pattern → Confirms pattern for similar contacts

Email List Cleaning

"We have 500 emails to validate before our cold campaign" → AI calls verify_email in batch → Returns valid/invalid/unknown per email → Filters out bounces before send

Lead List Building

"Build a list of emails for the engineering team at Figma" → AI calls detect_pattern → Gets first.last@figma.com format → AI calls find_email for each known name with that pattern

Recruitment / Talent

"Find the engineering manager at Vercel and their email" → AI calls find_email → Returns work email

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How It Compares to Apollo.io

Aspect	Our MCP	Apollo.io
Price	$0.02-$0.05/call	$49/month (starter)
API access	MCP (AI-native)	REST
Setup time	5 minutes	Hours (API key, plan selection)
Email finding	Hunter + Clearbit + patterns	Apollo DB
Verification	MX + SMTP	MX only
Pattern detection	Yes	No
Free tier	Yes — pay per call	No — subscription required
No API key needed	Yes (partial)	No

Why choose our MCP:

• MCP protocol is designed for AI agent integration — natural language tool calls instead of REST
• Pay per use — no subscription required
• Built-in pattern detection for guess-and-verify workflows
• MX + SMTP verification (not just MX lookup)

Apollo.io alternative: https://www.apollo.io/

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Pricing

Tool	Price
find_email	$0.05/call
verify_email	$0.02/call
detect_pattern	$0.02/call

No subscription required. Pay per use via Apify PPE.

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Tips

1. Verify before outreach — always call verify_email before sending cold emails
2. Use pattern detection — if you know someone's name but can't find their exact email, detect the pattern and construct it
3. MX-first check — verify_email is fast and cheap, use it to filter invalid domains before expensive find_email calls
4. Combine tools — detect_pattern → guess multiple → verify_email in batch

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Connect to AI Agents

Claude Desktop

{
  "mcpServers": {
    "email-intelligence-mcp": {
      "url": "https://email-intelligence-mcp.apify.actor/mcp"
    }
  }
}

Cursor / Windsurf

Add the same JSON to your AI client config.

cURL Example

curl -X POST "https://email-intelligence-mcp.apify.actor/mcp" \
  -H "Content-Type: application/json" \
  -d '{"tool": "find_email", "params": {"full_name": "John Smith", "domain": "example.com"}}'

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Output Schema

All tools return JSON. See individual tool documentation for specific field schemas.

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API Status

• Health: Running
• Uptime: 99.9%
• Rate Limits: None enforced client-side (respect free tier limits for Hunter.io/Clearbit)
• Support: Open issue on GitHub

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SEO Keywords

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