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Diego Costa
Diego Costa

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How to Build Autonomous SDR Swarms with a Live B2B Lead Enrichment MCP Server

How to Build Autonomous SDR Swarms with a Live B2B Lead Enrichment MCP Server

To build high-performance autonomous SDR swarms, agents require native access to a B2B lead enrichment MCP server that provides real-time company profiles and intent signals directly within the LLM context window. By leveraging the Model Context Protocol (MCP), developers can eliminate brittle custom middleware and give AI agents the firmographic groundedness needed to execute personalized outreach without manual data entry.

Core Features

The B2B Lead Enrichment MCP API provides a standardized interface for AI models to query deep organizational data. Unlike static databases, this server provides:

  • Real-time Firmographics: Instant access to company size, revenue, industry classification, and headquarters location.
  • Technographic Intelligence: Identification of the target's current tech stack (e.g., "Are they using Salesforce or HubSpot?") to tailor the sales pitch.
  • Intent Signal Processing: Live web signals that indicate if a company is currently in a buying cycle for specific categories.
  • Zod-Validated Schema: Every tool parameter is strictly typed using Zod annotations, which forces LLMs like Claude 3.5 Sonnet or GPT-4o to provide well-formatted queries, effectively eliminating parameter hallucinations.

Configuring Your Agent Swarm

To give your agents (in Claude Desktop, Cursor, or a custom MCP host) access to these tools, add the following configuration to your claude_desktop_config.json or equivalent environment setup.

{
  "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"
      }
    }
  }
}
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Standardized Data Output

When an agent invokes the enrich_lead tool, it receives a clean, structured JSON-RPC response. This ensures the agent's next thought (COT) is based on factual data rather than probabilistic guessing.

{
  "method": "tools/call",
  "params": {
    "name": "enrich_lead",
    "arguments": {
      "domain": "stripe.com"
    }
  },
  "result": {
    "companyName": "Stripe, Inc.",
    "industry": "Fintech / Payments",
    "employeeCount": "7000+",
    "technographics": ["AWS", "React", "Ruby on Rails", "Salesforce"],
    "intentSignals": [
      { "type": "Expansion", "score": 0.88, "description": "High hiring volume in EMEA" }
    ],
    "confidenceScore": 0.98
  }
}
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High-Precision Billing for Scalable Swarms

Scaling an SDR swarm can become prohibitively expensive if you are billed for "no results found" or low-quality data. Our B2B Lead Enrichment MCP API utilizes a Risk-Free Metered Billing structure. You are only charged for successful enrichments where the Confidence Score is > 0.6. If the server returns a low-confidence match or a "not found" status, the cost of that specific API call is $0. This allows you to run massive discovery loops across thousands of domains without the risk of burning through your development budget on "dead" leads.

Get Started with Your Free API Key

Ready to deploy your autonomous sales fleet? Visit the portal to grab your API key and start enriching leads with the highest-fidelity data available for the Model Context Protocol.

Get Your Free API Key at lead-enrichment-mcp.agent-infra.workers.dev

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