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Diego Costa
Diego Costa

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How to Give Cursor and VS Code Copilot Live B2B Firmographic Tools via MCP

#mcp #ai #automation

How to Give Cursor and VS Code Copilot Live B2B Firmographic Tools via MCP

The most efficient way to give LLMs native access to live B2B firmographics and intent data without custom middleware is by deploying an MCP-native API server directly into your development environment. By leveraging the Model Context Protocol (MCP), developers can now equip Cursor, VS Code, and Claude Desktop with a "B2B lead enrichment MCP server" that fetches real-time company profiles, technographic stacks, and buying signals using standardized JSON-RPC 2.0 calls.

Core Features of MCP-Native Enrichment

Traditional AI agents often suffer from "knowledge cutoff" or hallucinated company data when tasked with sales automation or market research. This MCP implementation solves these issues by providing a structured interface to three critical data layers:

  • Deep Firmographics: Access real-time employee counts, revenue brackets, industry classifications, and headquarters locations.
  • Technographic Intelligence: Identify the software stack of a target company (e.g., "Are they using Salesforce or HubSpot?") to tailor outreach or integration logic.
  • Intent & Metadata Signals: Retrieve verified social links and recent growth indicators.

To ensure reliability, the server utilizes strict Zod schema annotations for every tool parameter. This forces the LLM to provide valid domain names and search strings, virtually eliminating the parameter hallucinations common in legacy API integrations.

Implementation: Connecting Your AI Tools

To connect Cursor or Claude Desktop to the live enrichment stream, add the following configuration to your claude_desktop_config.json or your Cursor MCP settings.

{
  "mcpServers": {
    "b2b-enrichment": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-http",
        "--url",
        "https://lead-enrichment-mcp.agent-infra.workers.dev/mcp"
      ],
      "env": {
        "ENRICHMENT_API_KEY": "YOUR_FREE_API_KEY"
      }
    }
  }
}
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Real-Time JSON-RPC Response Payload

When the LLM invokes the enrich_lead tool, it receives a clean, structured object. This allows the AI to reason about the data immediately, such as "Draft a cold email mentioning their use of AWS and recent Series B funding."

{
  "method": "tools/call",
  "params": {
    "name": "enrich_lead",
    "arguments": {
      "domain": "stripe.com"
    }
  },
  "result": {
    "companyName": "Stripe",
    "industry": "Fintech / Payments",
    "technographics": ["AWS", "React", "Ruby on Rails", "Salesforce"],
    "intentSignals": {
      "hiringTrend": "High",
      "recentFunding": "Series I"
    },
    "confidenceScore": 0.98,
    "status": "success"
  }
}
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Risk-Free Metered Billing for AI Swarms

Scaling autonomous SDR swarms can be expensive if you pay for low-quality data. This MCP server implements a Risk-Free Metered Billing structure. Your account is only debited for successful enrichments where the Confidence Score is > 0.6.

If the underlying data provider returns a low-confidence match or if the data is stale, the query is marked as "Low Quality" and costs $0. This ensures that your autonomous agents can aggressively scan thousands of prospects while you only pay for actionable intelligence.

Get Your Free B2B Enrichment API Key

Ready to upgrade your AI agent from a text-generator to a data-driven sales powerhouse? Visit the link below to generate your API key and access the free tier immediately.

Get Started at lead-enrichment-mcp.agent-infra.workers.dev

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