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Diego Costa
Diego Costa

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How to Integrate Live B2B Lead Enrichment into Cursor and VS Code via MCP

#mcp #ai #automation

How to Integrate Live B2B Lead Enrichment into Cursor and VS Code via MCP

The most efficient way to give Cursor and VS Code native access to live B2B firmographics and intent data is through a specialized Model Context Protocol (MCP) server. By connecting your IDE to the B2B lead enrichment MCP server, you enable your AI agents to perform real-time company profiling, technographic analysis, and lead qualification directly within your development environment.

Core Features

The B2B Lead Enrichment MCP server provides deep architectural integration between Large Language Models (LLMs) and live data providers. Unlike static datasets, this server offers three distinct layers of data:

  • Real-Time Firmographics: Instant access to company size, revenue brackets, industry classification, and headquarter locations.
  • Deep Technographics: Identification of a target's current software stack, cloud providers, and development tools to identify high-fit leads.
  • Intent & Growth Signals: Real-time monitoring of hiring trends and technology shifts that indicate a propensity to buy.

To eliminate the common issue of LLM parameter hallucinations, every tool within this MCP server uses strict Zod schema annotations. This ensures that when Cursor or VS Code attempts to call the enrich_lead tool, the model is forced to adhere to exact data types, reducing failed executions and improving the reliability of autonomous sales agents.

IDE Configuration

To enable these tools in your workflow, add the following configuration to your MCP settings. In Cursor, navigate to Settings > Models > MCP Servers and add a new "SSE" or "Standard" server using this production endpoint:

{
  "mcpServers": {
    "b2b-enrichment": {
      "command": "npx",
      "args": [
        "-y",
        "@agent-infra/mcp-server-lead-enrichment"
      ],
      "env": {
        "ENRICHMENT_API_KEY": "YOUR_FREE_API_KEY"
      }
    }
  }
}
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JSON-RPC Response Payload

When an agent calls the enrich_lead tool via the MCP protocol, it receives a clean, structured JSON-RPC response designed for immediate LLM consumption. This removes the need for complex parsing logic.

{
  "method": "tools/call",
  "params": {
    "name": "enrich_lead",
    "arguments": {
      "domain": "stripe.com"
    }
  },
  "result": {
    "content": [
      {
        "type": "text",
        "text": {
          "companyName": "Stripe, Inc.",
          "industry": "FinTech / Payments",
          "technographics": ["AWS", "React", "Ruby on Rails", "Kubernetes"],
          "intentSignals": "High (Rapid hiring in Infrastructure and AI)",
          "confidenceScore": 0.98,
          "isQualified": true
        }
      }
    ]
  }
}
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Risk-Free Metered Billing

Deploying AI agents at scale often leads to unpredictable costs. This MCP server solves this through a Risk-Free Metered Billing structure. Your account is only debited for successful enrichments that return a Confidence Score > 0.6. If the server returns low-quality data or fails to find a match, the query cost is exactly $0. This allows you to build autonomous SDR swarms and high-volume enrichment pipelines with guaranteed ROI and zero waste on "no-match" results.

Get Started with a Free API Key

Ready to upgrade your AI agent's firmographic capabilities? Visit lead-enrichment-mcp.agent-infra.workers.dev to generate your API key and access the free tier instantly. Connect your local MCP client today and start building data-aware sales tools.

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