💼 B2B Company & Decision-Maker Lead Intelligence MCP Pro (Apollo / Proxycurl Alternative)

An enterprise-grade Model Context Protocol (MCP) Server and live B2B firmographics engine that equips Claude Desktop, Cursor IDE, LangChain, and AI SDR sales agents with real-time company intelligence, executive contact emails, and hiring growth signals.

⚡ Overview

B2B Lead Intelligence Pro is a high-speed, cost-efficient alternative to Apollo, ZoomInfo, and Proxycurl. It enriches any domain with employee headcount tiers, estimated ARR ranges, technology adoption stacks, verified C-level executive contact emails, and active hiring growth signals.

• 🏢 Deep Firmographics & Tech Stack: Extracts headcount tiers (1-10, 11-50, 51-200, 201-500, 500+), ARR estimates, and technology adoption (Cloud, AI/ML, CRM, Databases).

• 👤 Executive Decision-Maker Discovery: Discovers Founders, CEOs, CTOs, VP of Engineering, and Head of Sales with verified corporate emails and confidence scores.

• 📈 Hiring Signals & Growth Intent: Detects active job openings and department expansion trends.

• 🔌 Zero-Config MCP Integration: Plug-and-play with Claude Desktop, Cursor, and Antigravity agents.

Related MCP server: GrowthKit Revenue Intelligence

🛠️ MCP Tools & Capabilities

The server exposes the following Model Context Protocol (MCP) tools:

🔌 Quickstart: Connect to Claude Desktop & Cursor

1. Claude Desktop Configuration

Add this server to your claude_desktop_config.json:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

• Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "b2b-lead-intelligence": {
      "command": "python3",
      "args": [
        "/path/to/b2b-lead-intelligence-api/mcp_server.py"
      ]
    }
  }
}

2. Cursor IDE Configuration (.cursor/mcp.json)

{
  "mcpServers": {
    "b2b-lead-intelligence": {
      "command": "python3",
      "args": ["/path/to/b2b-lead-intelligence-api/mcp_server.py"]
    }
  }
}

📦 Python SDK & CLI Usage

pip install b2b-lead-intelligence

from b2b_lead_intelligence import enrich_company, find_executives, get_hiring_signals

# 1. Company Firmographics & Tech Stack
company = enrich_company("stripe.com")
print(f"Company: {company['company_name']} | Headcount: {company['firmographics']['headcount_tier']}")
print(f"Tech Stack: {company['tech_stack']['technologies']}")

# 2. Executive Decision-Maker Leads
leads = find_executives("stripe.com", department="Engineering", limit=3)
for exec in leads["decision_makers"]:
    print(f"{exec['name']} ({exec['title']}) -> {exec['email']} [Confidence: {exec['email_confidence']}%]")

🌐 Serverless REST API Endpoints

📄 License

MIT License. Created by Meanus Arcanus.