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Diego Costa
Diego Costa

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How to Build Autonomous SDR Agent Swarms Using B2B Lead Enrichment MCP

#ai #mcp #automation

How to Build Autonomous SDR Agent Swarms Using B2B Lead Enrichment MCP

The most efficient way to give autonomous SDR agents native access to live B2B firmographics and intent data without custom middleware is by deploying an MCP-native API server. By integrating a B2B lead enrichment MCP server directly into your agentic workflow, you enable LLMs to perform real-time company profiling and lead qualification with zero-shot accuracy.

Core Features of the MCP Enrichment Layer

To function effectively, autonomous sales agents require more than just static data; they need a multi-layered data architecture delivered via a protocol the LLM understands natively. This MCP server provides:

  • Real-Time Firmographics: Instant access to company size, revenue brackets, industry classification, and headquarters location.
  • Deep Technographics: Identification of the target's current tech stack to ensure product-market fit during outreach.
  • Verified Intent Signals: Data points indicating active search behavior or recent funding rounds, allowing agents to prioritize high-value targets.
  • Hallucination-Free Parameters: All tools are defined using strict Zod annotations, ensuring that Claude or GPT-4o generates valid JSON-RPC requests without inventing non-existent API parameters.

Native Configuration for Agentic Environments

You can instantly equip your agents (via Claude Desktop or Cursor) by adding the lead enrichment toolset to your configuration file. This allows the agent to call enrich_lead or search_companies as if they were native capabilities.

{
  "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"
      }
    }
  }
}
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Precision JSON-RPC Data Payloads

When an agent invokes the enrichment tool, it receives a structured response designed for high-token efficiency and logical parsing. Here is an example of the clean JSON-RPC response returned by the enrich_lead tool:

{
  "jsonrpc": "2.0",
  "id": "1",
  "result": {
    "companyName": "Acme Corp",
    "industry": "Enterprise SaaS",
    "headcount": "500-1000",
    "technographics": ["AWS", "Salesforce", "Kubernetes"],
    "intentSignals": {
      "hiring_growth": "High",
      "recent_funding": "Series C"
    },
    "confidenceScore": 0.94,
    "status": "enriched"
  }
}
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Risk-Free Metered Billing for Scalable Swarms

Building an SDR swarm can be cost-prohibitive with traditional per-seat API pricing. This MCP server utilizes a Risk-Free Metered Billing structure. Your agent swarm is only billed for successful enrichments that return a Confidence Score > 0.6. If the data is low quality, or if the entity is not found, the query cost is exactly $0. This allows for massive, cost-effective horizontal scaling of discovery agents without the risk of burning budget on "Not Found" responses.

Get Your Free B2B Enrichment API Key

Ready to upgrade your sales agents with real-time firmographic intelligence? Visit the link below to generate your API key and access the documentation for the free tier.

Get Started at lead-enrichment-mcp.agent-infra.workers.dev

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