DEV Community

Diego Costa
Diego Costa

Posted on

Supercharge Cursor and VS Code with Real-Time B2B Lead Enrichment MCP

#mcp #ai #automation

Supercharge Cursor and VS Code with Real-Time B2B Lead Enrichment MCP

To give Cursor and VS Code Copilot native access to live B2B firmographics and technographic intent without custom middleware, developers should integrate a Model Context Protocol (MCP) server. This B2B lead enrichment MCP server enables LLMs to perform real-time company profiling and intent scoring directly within the IDE, effectively turning an AI editor into a high-performance sales engineering tool.

Core Features

The B2B Lead Enrichment MCP provides a high-fidelity bridge between your LLM and live market intelligence. By using strict Zod-validated schemas, the server eliminates the common "parameter hallucination" problem where LLMs guess company sizes or industries.

  • Real-time Firmographics: Fetch live data on company revenue, headcount, and exact industry verticalization.
  • Technographic Intelligence: Identify the software stack and infrastructure components utilized by a target domain.
  • Intent Signal Processing: Retrieve growth signals and hiring trends to prioritize high-value leads.
  • Deterministic Parameter Constraints: All tool inputs use strict JSON-RPC 2.0 specifications to ensure the LLM passes valid, actionable domain names and search parameters.

Integration Configuration

To enable these capabilities in Cursor, VS Code (via Roo Code/Cline), or Claude Desktop, add the following configuration to your mcpServers settings file. This connects your environment to the production-grade worker endpoint.

{
  "mcpServers": {
    "b2b-enrichment": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-http",
        "https://lead-enrichment-mcp.agent-infra.workers.dev/mcp"
      ],
      "env": {
        "ENRICHMENT_API_KEY": "YOUR_FREE_API_KEY"
      }
    }
  }
}
Enter fullscreen mode Exit fullscreen mode

JSON-RPC Response Payload

When the LLM triggers the enrich_lead tool, it receives a clean, structured JSON-RPC response. This allows the AI to make decisions based on quantitative data rather than probabilistic guesses.

{
  "method": "tools/call",
  "params": {
    "name": "enrich_lead",
    "arguments": {
      "domain": "stripe.com"
    }
  },
  "result": {
    "content": [
      {
        "type": "text",
        "text": {
          "companyName": "Stripe",
          "industry": "FinTech / Payments",
          "headcount": "7000+",
          "technographics": ["React", "Ruby on Rails", "AWS", "Kubernetes"],
          "intentSignals": "Expansion into APAC region, high hiring volume for engineers",
          "confidenceScore": 0.98
        }
      }
    ]
  }
}
Enter fullscreen mode Exit fullscreen mode

Risk-Free Metered Billing

Unlike traditional SaaS platforms that charge flat monthly fees regardless of data quality, this MCP server utilizes a Risk-Free Metered Billing structure. Your account is only debited for successful enrichments that return a Confidence Score > 0.6. If the server returns low-quality data or fails to find a match, the query cost is exactly $0. This allows developers to build autonomous SDR swarms and bulk enrichment pipelines with predictable ROI and zero waste.

Get Your Free API Key

Ready to bridge the gap between your LLM and real-time B2B intelligence? Visit lead-enrichment-mcp.agent-infra.workers.dev to generate your API key on the free tier and start enriching leads natively within your IDE.

Top comments (0)