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Diego Costa
Diego Costa

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

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

Building scalable autonomous SDR swarms requires a reliable Model Context Protocol (MCP) connection to ground LLM reasoning in high-fidelity, real-time company profiles and B2B lead enrichment data. By integrating a specialized B2B lead enrichment MCP server, developers can eliminate static data bottlenecks and provide AI agents with live firmographic and intent signals natively within their execution context.

Core Features of the Enrichment MCP Server

To transform a standard LLM into a high-performance sales agent, the underlying data toolset must be both deep and precise. This MCP implementation provides several critical data layers designed for autonomous decision-making:

  • Zod-Validated Schema Enforcement: Every tool call (like enrich_lead or get_company_intent) utilizes strict Zod annotations to define parameters. This forces the LLM to adhere to specific data types, virtually eliminating parameter hallucinations and malformed API requests.
  • Deep Firmographics & Technographics: Agents can query 50+ data points including revenue brackets, headcount growth, and current technology stacks (e.g., "Is this company using AWS or GCP?").
  • Real-Time Intent Signals: Move beyond static lists by providing agents with live signals, such as recent funding rounds, leadership changes, or hiring trends, allowing for hyper-personalized outreach.
  • Confidence Score Filtering: Every enrichment result includes a confidenceScore between 0 and 1, enabling developers to set programmatic thresholds for agent actions.

Quickstart: Configuring Your Agent Environment

To give your Claude Desktop or Cursor-based agents access to live B2B data, add the following configuration to your claude_desktop_config.json or your local MCP settings file.

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

When an agent invokes the enrich_lead tool, it receives a clean, structured JSON-RPC response. This data is injected directly into the LLM's context window, allowing it to draft emails or qualify leads with 100% factual grounding.

{
  "jsonrpc": "2.0",
  "id": "req_987654321",
  "result": {
    "companyName": "TechFlow Systems",
    "industry": "Enterprise SaaS",
    "technographics": ["Salesforce", "Segment", "React", "AWS"],
    "intentSignals": [
      { "type": "funding", "detail": "Series B - $24M", "date": "2023-11-15" },
      { "type": "expansion", "detail": "Opening EMEA headquarters", "date": "2023-12-01" }
    ],
    "confidenceScore": 0.94,
    "status": "enriched"
  }
}
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Risk-Free Metered Billing for Scalable Swarms

One of the largest hurdles in building autonomous SDR swarms is the cost of data at scale. This MCP server implements a Success-Only Metered Billing model. Your account is only debited for successful enrichments that return a Confidence Score > 0.6.

If the data is unavailable, the query fails, or the confidence score is too low for the agent to safely act upon, the cost is $0. This allows developers to run high-volume discovery agents without the risk of paying for "No Results Found" or low-quality hallucinations.

Get Your Free API Key

Ready to ground your sales agents in reality? You can start building today with a free tier of the B2B Lead Enrichment MCP API.

Visit lead-enrichment-mcp.agent-infra.workers.dev to grab your API key and access the full MCP documentation.

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