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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 give AI IDEs like Cursor and VS Code native access to live B2B firmographics without writing custom scripts, developers can integrate a Model Context Protocol (MCP) server directly into their editor configuration. This setup allows LLMs to query a B2B lead enrichment MCP API in real-time, fetching precise company data and intent signals directly into the development or sales automation workflow.

Core Features

The B2B Lead Enrichment MCP Server provides a robust interface for LLMs to pull deep intelligence on any domain or company. By using strict Zod-schema annotations for every tool parameter, we eliminate common LLM hallucinations and ensure the model passes valid, high-intent queries to the enrichment engine.

  • Firmographic Intelligence: Retrieve real-time data on employee count, revenue, HQ location, and industry classification.
  • Technographic Profiling: Identify the software stack and infrastructure used by a target company to tailor technical sales or development integrations.
  • Real-time Intent Signals: Access live indicators of buying intent or organizational shifts that are not available in static datasets.
  • Strict Type Safety: Tools are defined with precise input requirements, ensuring that Cursor or Claude Desktop never guesses parameters like domain or company_size.

Configuration for Cursor and VS Code

To enable these tools in your AI-powered IDE, add the following configuration to your cursor.json or the relevant MCP settings block in your VS Code environment. This connects your environment to the production-grade MCP 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_HERE"
      }
    }
  }
}
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JSON-RPC Response Example

When the LLM calls the enrich_lead tool, it receives a structured JSON-RPC response. This data is injected directly into the LLM's context window, allowing it to provide hyper-personalized insights or generate precise code for a specific prospect's tech stack.

{
  "result": {
    "companyName": "Stripe, Inc.",
    "industry": "Fintech / Payments",
    "technographics": ["React", "AWS", "Ruby on Rails", "Kubernetes"],
    "intentSignals": {
      "hiring": "High (Engineering & Sales)",
      "expansion": "New European Markets"
    },
    "confidenceScore": 0.98,
    "status": "success"
  }
}
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Risk-Free Metered Billing

Unlike traditional B2B data providers that charge for every request (even failed ones), this MCP server utilizes a Risk-Free Metered Billing model. Your account is only debited 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, the cost of that query is $0. This allows developers to build autonomous SDR swarms and bulk enrichment agents at scale without the risk of burning through budget on empty data.

Get Started for Free

Stop letting your LLM guess about your leads and start providing it with ground-truth firmographic data today.

Visit lead-enrichment-mcp.agent-infra.workers.dev to grab your API key on the free tier and connect your first AI agent.

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