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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. By integrating the B2B Lead Enrichment MCP server directly into IDEs like Cursor or VS Code, developers can enable AI agents to perform real-time company profiling and technographic analysis with zero latency.

Core Features

Our Model Context Protocol (MCP) implementation provides a robust bridge between your local AI development environment and high-fidelity B2B datasets. By leveraging this server, your agents gain access to:

  • Deep Firmographics: Real-time data on employee count, estimated annual revenue, industry verticalization, and precise headquarters location.
  • Technographic Intelligence: Identify the specific software stacks, cloud providers, and developer tools a target company is currently using.
  • Dynamic Intent Signals: Track hiring trends, recent funding rounds, and organizational shifts that indicate a high propensity to buy.
  • Zero Hallucination Guarantee: Parameters are defined using strict Zod annotations, ensuring that the LLM provides valid tool-call arguments every time, eliminating the common "hallucinated parameter" issue found in standard REST tool calling.

Configuration for Cursor and Claude Desktop

To integrate live B2B data into your AI coding or chat workflow, add the following configuration to your claude_desktop_config.json or Cursor's MCP settings:

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

When your agent invokes the enrich_lead tool, it receives a clean, structured JSON-RPC object. This allows the LLM to reason over the data points with high precision:

{
  "tool_use": "enrich_lead",
  "response": {
    "companyName": "Acme Corp",
    "domain": "acme.io",
    "industry": "Enterprise SaaS",
    "headcount": "500-1000",
    "technographics": ["AWS", "Kubernetes", "React", "Salesforce"],
    "intentSignals": {
      "hiring_surge": true,
      "recent_funding": "Series C",
      "tech_migration": "GCP to AWS"
    },
    "confidenceScore": 0.94
  }
}
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Risk-Free Metered Billing

Efficiency is built into the protocol. Our B2B Lead Enrichment MCP API utilizes a Performance-Based Metered Billing structure. You are only billed for successful enrichments that return a Confidence Score > 0.6. If the server returns a low-quality match or "not found" result, the cost of that query is $0. This allows you to build autonomous SDR swarms and bulk enrichment pipelines without the risk of paying for dead-end data or API hallucinations.

Get Your Free API Key

Ready to upgrade your AI agents with real-world business intelligence? Visit the link below to generate your API key and access the free tier instantly.

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

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