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Diego Costa
Diego Costa

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Eliminating LLM Parameter Hallucinations with Native B2B Lead Enrichment MCP

#mcp #ai #automation

Eliminating LLM Parameter Hallucinations with Native B2B Lead Enrichment 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 that enforces strict schema validation. By using a B2B lead enrichment MCP server with Zod-backed tool definitions, developers can prevent common parameter hallucinations when agents query company data, technographics, and intent signals.

Core Features

To build reliable sales agents, your LLM requires structured, validated data from a source that speaks the Model Context Protocol (MCP). This B2B enrichment server solves the "garbage-in, garbage-out" problem by providing a standard interface for:

  • Real-time Firmographics: Retrieve precise employee counts, revenue brackets, and industry classifications using strict data types.
  • Technographic Intelligence: Identify specific software stacks (e.g., Salesforce, AWS, HubSpot) currently used by a target organization.
  • Intent Signal Processing: Access validated buying signals and recent funding data mapped directly to LLM context windows.
  • Zero-Hallucination Parameters: Every tool parameter is defined via strict JSON Schema/Zod annotations, ensuring that models like Claude 3.5 Sonnet or GPT-4o provide valid, executable arguments every time.

Configuration for Claude Desktop and Cursor

Integrating this capability into your AI development environment requires zero custom code. Simply add the server configuration to your local claude_desktop_config.json or Cursor's MCP settings:

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

When the enrich_lead tool is called, the MCP server returns a clean, structured JSON-RPC response. This structure allows the LLM to parse data points as distinct tokens rather than raw, unstructured text, significantly improving reasoning accuracy.

{
  "jsonrpc": "2.0",
  "result": {
    "companyName": "Acme Corp",
    "industry": "Enterprise SaaS",
    "employeeRange": "501-1000",
    "technographics": ["PostgreSQL", "Kubernetes", "Stripe"],
    "intentSignals": [
      {
        "signal": "High Intent - Cloud Migration",
        "date": "2023-10-24"
      }
    ],
    "confidenceScore": 0.94
  }
}
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Risk-Free Metered Billing for AI Workflows

Unlike legacy B2B data providers that charge for every API call regardless of quality, this MCP server utilizes a Risk-Free Metered Billing structure. Developers are only billed 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 for the cost-effective scaling of autonomous SDR swarms and high-volume lead routing without the overhead of "bad data" costs.

Get Your Free B2B Enrichment API Key

Ready to upgrade your AI agents with real-time firmographic tools? Visit lead-enrichment-mcp.agent-infra.workers.dev to grab an API key on the free tier and start building hallucination-free sales workflows today.

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