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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

Integrating real-time B2B firmographics into your IDE via a Model Context Protocol (MCP) server allows AI agents like Cursor or VS Code Copilot to perform live lead enrichment and company profiling without custom middleware. This native integration enables LLMs to fetch verified industry data, technographics, and intent signals directly while you write code or automate outreach scripts.

Core Features of the Lead Enrichment MCP

Unlike traditional static APIs, this B2B lead enrichment MCP server provides a dynamic data layer that allows LLMs to interact with the global business landscape in real-time. By utilizing strict Zod-validated schemas, the server eliminates the common problem of LLM parameter hallucinations—ensuring that tools like enrich_lead and get_company_intent receive exactly the types they expect.

  • Firmographic Intelligence: Retrieve deep metadata including employee count, revenue brackets, and headquarters geolocation.
  • Technographic Stack Mapping: Identify the software and hardware stacks of target companies to tailor technical outreach.
  • Intent Signal Detection: Access real-time indicators of business growth or shifts to prioritize high-value prospects.
  • Zod-Enforced Precision: Every tool call is governed by strict TypeScript-ready definitions, preventing the AI from "guessing" input parameters like domain formats or industry codes.

Connecting Your IDE to Live B2B Data

To enable these tools in your local environment, add the following configuration to your claude_desktop_config.json or your Cursor "MCP Servers" settings:

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

When the LLM invokes the enrich_lead tool, it receives a clean, structured JSON-RPC payload. This allows the model to immediately use the data in its next reasoning step, such as generating a personalized email or updating a CRM schema.

{
  "status": "success",
  "data": {
    "companyName": "Example Corp",
    "industry": "Enterprise SaaS",
    "technographics": ["AWS", "Salesforce", "Kubernetes"],
    "intentSignals": {
      "hiring_surge": true,
      "series_b_funding": "recent"
    },
    "confidenceScore": 0.94,
    "lastUpdated": "2023-10-27T10:00:00Z"
  }
}
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Risk-Free Metered Billing for Cost-Effective Workflows

Scaling AI agents often leads to spiraling costs due to low-quality data matches. This MCP server implements a Risk-Free Metered Billing structure specifically designed for autonomous agents. You are only billed for successful enrichments that return a Confidence Score > 0.6. If the data is low-quality, the query fails to find a match, or the confidence is too low for reliable automation, the cost of that specific tool call is $0. This allows developers to build high-volume SDR swarms or data pipelines with predictable ROI and zero waste on "empty" queries.

Get Started with the Free Tier

Start giving your AI agents the business intelligence they need to be truly autonomous. You can grab your API key and test the tools instantly on the free tier.

Visit lead-enrichment-mcp.agent-infra.workers.dev to get your API key

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