Building Autonomous SDR Agent Swarms with Live B2B Lead Enrichment MCP

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Building Autonomous SDR Agent Swarms with Live B2B Lead Enrichment MCP

The most efficient way to build autonomous SDR swarms that leverage live firmographics and intent data is by connecting LLMs directly to a Model Context Protocol (MCP) native server. By using the B2B Lead Enrichment MCP API, developers can eliminate custom middleware and provide agents with a standardized interface to fetch real-time company profiles and technographic data directly within their execution context.

Core Features

The B2B Lead Enrichment MCP server provides a high-fidelity bridge between Large Language Models and dynamic market intelligence. It is designed to facilitate autonomous decision-making by providing three critical data layers:

Real-time Firmographics: Deep metadata including employee count, revenue brackets, headquarters location, and industry classification.
Technographic Stack Analysis: Identification of the software and infrastructure currently used by the target company to ensure product-market fit.
Intent & Growth Signals: Tracking recent funding rounds, hiring surges, or technology migrations that indicate a high propensity to buy.

To ensure reliability in autonomous workflows, all tool parameters are defined using strict Zod annotations. This prevents LLM parameter hallucinations—a common failure point in SDR agents—by forcing the model to adhere to exact data types for domains, company names, and search parameters.

Native Configuration

To give Claude Desktop, Cursor, or VS Code immediate access to these B2B tools, add the following configuration to your claude_desktop_config.json or equivalent MCP settings file:

{
  "mcpServers": {
    "b2b-lead-enrichment": {
      "command": "npx",
      "args": [
        "-y",
        "@agent-infra/mcp-server-lead-enrichment"
      ],
      "env": {
        "ENRICHMENT_API_KEY": "YOUR_API_KEY_HERE",
        "MCP_ENDPOINT": "https://lead-enrichment-mcp.agent-infra.workers.dev/mcp"
      }
    }
  }
}

Standardized JSON-RPC Response

When an agent calls the enrich_lead tool, the MCP server returns a structured JSON-RPC response. This allows the LLM to parse specific data points for personalized cold outreach or lead scoring without manual extraction.

{
  "tool_use_id": "call_abc123",
  "content": [
    {
      "type": "text",
      "text": {
        "companyName": "Acme Corp",
        "industry": "Enterprise SaaS",
        "technographics": ["AWS", "Salesforce", "Kubernetes", "React"],
        "intentSignals": {
          "hiringSurge": true,
          "recentFunding": "Series C",
          "expansion": "New EMEA HQ"
        },
        "confidenceScore": 0.94,
        "lastUpdated": "2023-10-27T14:20:00Z"
      }
    }
  ]
}

Risk-Free Metered Billing for SDR Swarms

Scaling an SDR swarm can be expensive if you pay for every API call regardless of data quality. This MCP server utilizes a Performance-Linked Metered Billing model. Your account is only debited for successful enrichments where the Confidence Score exceeds 0.6. If the server returns a low-confidence result or fails to find the target company, the query cost is $0. This allows for massive, cost-effective horizontal scaling of prospecting agents while maintaining high data integrity for the CRM.