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Diego Costa
Diego Costa

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

#mcp #ai #automation

How to Give Cursor and VS Code Copilot Live 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 a B2B lead enrichment MCP server, developers can transform Cursor, VS Code, or Claude Desktop into high-performance sales engineering agents capable of retrieving real-time company profiles and technographic signals during the research or development process.

Core Features of the MCP Lead Enrichment Toolset

Integrating high-intent B2B data into your AI workflow requires more than just a standard REST API; it requires a tool-calling interface that the LLM understands natively. This MCP server provides:

  • Firmographic Intelligence: Instant retrieval of company size, revenue brackets, industry classification, and headquarters location.
  • Technographic Layer: Real-time detection of a company's tech stack, including cloud providers, CRM usage, and frontend frameworks.
  • Verified Intent Signals: Data points on hiring trends and recent growth metrics to identify high-value targets.
  • Zero Hallucination Guarantee: All tool parameters use strict Zod-schema annotations, ensuring the LLM passes correctly formatted domains and company names without hallucinating properties.

IDE Configuration

To enable these tools in Cursor or VS Code (via MCP extensions), add the following configuration to your MCP settings. This connects your IDE directly to the production-ready lead enrichment 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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Real-Time JSON-RPC Response Example

When you ask your AI assistant to "Enrich the domain stripe.com," the MCP server executes the enrich_lead tool and returns a structured payload. The LLM parses this clean data to provide insights or generate code:

{
  "jsonrpc": "2.0",
  "result": {
    "companyName": "Stripe",
    "industry": "Fintech / Software",
    "employeeCount": 8000,
    "technographics": ["AWS", "React", "Ruby on Rails", "Salesforce"],
    "intentSignals": {
      "hiring_velocity": "High",
      "expansion_intent": "Global Payments"
    },
    "confidenceScore": 0.98,
    "status": "success"
  }
}
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Risk-Free Metered Billing for AI Agents

Building autonomous SDR swarms or research agents can be expensive if you pay for every API call, regardless of quality. This MCP server utilizes a Risk-Free Metered Billing structure specifically designed for AI agents.

You are only billed for successful enrichments that return a Confidence Score > 0.6. If the data is low-quality, the domain is invalid, or the enrichment fails to find a match, the cost is exactly $0. This allows developers to build high-volume loops and agentic workflows without the risk of burning credits on empty JSON responses.

Get Your Free API Key Today

Ready to give your AI agents the power of real-time B2B intelligence? Visit the link below to generate your API key and start using the B2B Lead Enrichment MCP server on the free tier.

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

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