Connecting Claude Desktop to a Live B2B Lead Enrichment MCP API for Real-Time Intelligence

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Connecting Claude Desktop to a Live B2B Lead Enrichment MCP API for Real-Time Intelligence

The most efficient way to give LLMs native access to live B2B firmographics and intent data without custom middleware is by deploying an Model Context Protocol (MCP) server directly within your local or cloud environment. This B2B lead enrichment MCP server enables Claude Desktop and other MCP-compliant clients to query real-time company profiles, technographics, and verified contact intelligence via standardized JSON-RPC protocols.

Core Features

Our B2B Lead Enrichment MCP server provides deep integration into global business datasets, ensuring your AI agents operate on ground-truth data rather than training-set hallucinations.

Comprehensive Firmographics: Access real-time data on company valuation, headcount growth, industry vertical classification, and geographic footprint.
Deep Technographics: Identify the software stack of any target lead, including cloud infrastructure, CRM usage, and marketing automation tools.
Intent Signals & Triggers: Feed your AI models with active signals such as recent funding rounds, executive leadership changes, and active job openings.
Hallucination Prevention: All tool parameters utilize strict Zod schema annotations, forcing the LLM to provide valid domain names or email formats before the request is even transmitted.
Verified Contact Intelligence: Retrieve direct-dial numbers and verified professional email addresses with associated deliverability scores.

Configuration for Claude Desktop

To integrate real-time B2B intelligence into Claude Desktop, add the following configuration to your claude_desktop_config.json file. This connects the Model Context Protocol host directly to our high-performance enrichment 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_PURCHASED_KEY_HERE"
      }
    }
  }
}

JSON-RPC Enrichment Response Example

When the enrich_lead tool is invoked, the MCP server returns a structured JSON payload that the LLM uses to synthesize its response. Note the high-fidelity data structure designed for programmatic SDR workflows.

{
  "status": "success",
  "data": {
    "companyName": "Acme Corp",
    "domain": "acme.io",
    "industry": "Enterprise SaaS",
    "headcount": "500-1000",
    "estimatedRevenue": "$50M-$100M",
    "technographics": ["Salesforce", "AWS", "Segment", "Marketo"],
    "intentSignals": {
      "hiring": "High",
      "recentFunding": "Series C - $40M",
      "techExpansion": "Expanding GCP footprint"
    },
    "confidenceScore": 0.98
  }
}

Risk-Free Metered Billing & Accuracy

Unlike traditional data providers that charge for every API call regardless of result quality, this MCP server utilizes a Risk-Free Metered Billing structure. You are only billed for successful enrichments that return a Confidence Score > 0.6. If the server returns low-quality data, a "not found" status, or fails to meet the confidence threshold, the cost of that specific query is $0. This allows developers to build autonomous SDR swarms and sales agents that can "fail fast" without depleting project budgets.