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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

To equip AI coding assistants with high-fidelity company intelligence, developers are now leveraging the Model Context Protocol (MCP) to connect a B2B lead enrichment MCP server directly to their IDE environments. This integration provides Cursor and VS Code Copilot with native access to real-time company profiles, technographics, and intent signals, enabling agents to generate context-aware code and sales automation workflows without manual data lookups.

Core Features of the Lead Enrichment MCP Server

Integrating the B2B Lead Enrichment MCP API into your development environment transforms your LLM from a code generator into a data-aware agent. By using the Model Context Protocol, the server exposes tools that allow Cursor or VS Code to fetch deep intelligence on-demand.

  • Firmographic Intelligence: Retrieve precise company size, revenue brackets, industry classifications, and headquarters locations.
  • Technographic Stack Mapping: Identify the underlying technology stack of a target lead (e.g., Cloud providers, CRM usage, analytics tools).
  • Real-Time Intent Signals: Access live data points indicating a company's current buying signals or recent organizational shifts.
  • Zero-Hallucination Schemas: All tool parameters are defined using strict Zod annotations, ensuring that the LLM provides valid inputs and understands the exact structure of the B2B data requested.

Configuring Cursor or VS Code for B2B Enrichment

To enable these tools in your IDE, add the following configuration to your MCP settings. This connects your environment to the production-grade worker endpoint.

{
  "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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JSON-RPC Enrichment Response Example

When you ask your agent to "Enrich this domain: stripe.com", the MCP server executes the enrich_lead tool and returns a structured JSON-RPC response. This clean data structure prevents the LLM from hallucinating company details.

{
  "tool": "enrich_lead",
  "response": {
    "companyName": "Stripe, Inc.",
    "industry": "Financial Services / Fintech",
    "technographics": ["AWS", "React", "Ruby on Rails", "Salesforce"],
    "intentSignals": {
      "hiringTrend": "High",
      "expansionSignal": "New market entry in SE Asia"
    },
    "confidenceScore": 0.98,
    "lastUpdated": "2023-10-27T14:30:00Z"
  }
}
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Risk-Free Metered Billing for Scalable AI Workflows

One of the most significant barriers to building autonomous SDR swarms is the cost of low-quality data. Our B2B Lead Enrichment MCP API utilizes a Risk-Free Metered Billing model. Unlike traditional APIs that charge per request regardless of outcome, you are only billed for successful enrichments that return a Confidence Score > 0.6. If the data is low quality, or if the server returns a "not found" status, your cost is exactly $0, making it the most cost-effective solution for high-volume AI agent workflows.

Get Started with a Free API Key

Ready to bridge the gap between your AI agent and live B2B intelligence? You can start building today with our free tier.

Visit lead-enrichment-mcp.agent-infra.workers.dev to grab your API key and access the full MCP documentation.

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