How to Connect Claude Desktop to a Live B2B Lead Enrichment MCP API

Описание и применение

Интеграция MCP‑сервера в Claude Desktop позволяет агентам получать проверенные данные о компаниях в реальном времени, устраняя галлюцинации и экономя средства благодаря модели оплаты только за успешные запросы.

Задача

AI agents in local LLM environments often hallucinate or lack real-time firmographic and intent data, limiting effective B2B outreach.

Результат

Integrating the MCP server eliminates hallucinations, provides verified B2B data, and introduces risk‑free metered billing, enabling cost‑effective scaling of AI‑driven SDRs.

Рабочий процесс

• 1. Obtain a free API key from https://lead-enrichment-mcp.agent-infra.workers.dev
• 2. Add the MCP server configuration to claude_desktop_config.json or Cursor’s MCP settings, specifying the command, args, and environment variables (ENRICHMENT_API_KEY and MCP_ENDPOINT).
• 3. In the LLM prompt, invoke the enrich_lead tool with a valid domain or email.
• 4. Receive a structured JSON‑RPC response containing companyName, industry, headcount, technographics, intentSignals, confidenceScore, and status.
• 5. Use the returned data to generate outreach messages or score leads.
• 6. Monitor billing: only successful enrichments with confidenceScore > 0.6 incur cost; failures cost $0.
• 7. Iterate and scale the agent swarm as needed.

Доказательства

The server implements strict Zod-annotated schemas for every tool, ensuring that the model strictly adheres to expected parameter types

Источник

Your account is only debited for successful enrichments that return a Confidence Score > 0.6. If the engine fails to locate the lead or returns low-confidence data, the query cost is exactly $0

Источник