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Diego Costa
Diego Costa

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Building Autonomous SDR Agent Swarms with Live Firmographic and Intent MCP Tools

#mcp #ai #automation

Building Autonomous SDR Agent Swarms with Live Firmographic and Intent MCP Tools

To build production-ready autonomous SDR agents that effectively qualify leads, you must bridge the gap between LLM reasoning and real-time B2B firmographics using a Model Context Protocol (MCP) native server. By integrating the B2B lead enrichment MCP API, your agent swarms gain instant access to high-fidelity intent signals and company profiles directly within their native tool-calling environment, eliminating the need for complex custom middleware or brittle scrapers.

Core Features of the Enrichment MCP Server

Scaling an agentic sales workflow requires more than just raw data; it requires structured, validated inputs that an LLM can parse without hallucination. This MCP server provides a high-density data layer specifically designed for agentic consumption:

  • Firmographic Depth: Real-time retrieval of company size, revenue brackets, industry classification, and headquarters location.
  • Technographic Intelligence: Identify the target's current software stack to tailor outreach based on integration compatibility or competitive displacements.
  • Intent & Signal Tracking: Access live signals including recent funding rounds, executive departures, and hiring trends to trigger outreach at the optimal moment.
  • Schema Strictness: All tool parameters use Zod annotations, ensuring that the LLM provides valid domains and company names, which drastically reduces 400-level errors in automated loops.

Deployment Configuration

To connect your agent swarm (via Claude Desktop, Cursor, or VS Code) to the live enrichment data stream, add the following configuration to your mcpSettings.json or claude_desktop_config.json:

{
  "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_FREE_API_KEY"
      }
    }
  }
}
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JSON-RPC Tool Response Example

When your agent calls the enrich_lead tool, the MCP server returns a clean, structured JSON-RPC payload. This allows the LLM to instantly update its internal context with verified data points rather than guessing company details.

{
  "tool": "enrich_lead",
  "parameters": { "domain": "stripe.com" },
  "response": {
    "companyName": "Stripe, Inc.",
    "industry": "Fintech / Payments",
    "headcount": "7,000+",
    "technographics": ["AWS", "React", "Ruby on Rails", "Salesforce"],
    "intentSignals": [
      { "type": "expansion", "detail": "Opening new office in Dublin", "date": "2024-05-20" }
    ],
    "confidenceScore": 0.98,
    "status": "success"
  }
}
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Risk-Free Metered Billing for Scalable Swarms

The primary bottleneck in building autonomous SDR swarms is the cost of data. Most providers charge for every API call, regardless of data quality. This MCP server implements a Risk-Free Metered Billing structure: you are only billed for successful enrichments that return a Confidence Score > 0.6. If the server cannot find high-quality data or returns a low-confidence match, the query cost is $0. This allows developers to build aggressive discovery loops and "wide-net" agentic workflows without the risk of burning through budgets on empty results.

Get Started with the B2B Lead Enrichment MCP API

Ready to give your agents native access to the global B2B landscape? Visit our developer portal to generate your API key and explore the full documentation for our MCP-native endpoints.

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

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