I Built an AI Voice Receptionist with Vapi and n8n MCP

I Built an AI Voice Receptionist with Vapi and n8n MCP

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Descriptions:

Nate Herk walks through building a fully functional AI voice receptionist — named “Kylie” — for a car detailing business, combining Vapi for voice AI with n8n as the automation backend via a custom MCP server. The system uses seven discrete n8n workflows to handle tasks like creating CRM contacts, checking calendar availability, booking appointments, and rescheduling, all triggered in real time during live phone calls.

The video opens with two unscripted demo calls: a new customer creating an account and booking an 8 a.m. slot, then calling back to reschedule an hour later. Viewers watch the CRM and calendar update live as Kylie processes each request. Herk then explains how Vapi connects to n8n through an MCP server trigger, how the AI selects the correct workflow based on natural language context, and the exact steps to configure the server URL and API key authentication headers inside Vapi’s tool settings.

All resources are provided free: the complete system prompt, all seven n8n workflows, and a 15-page configuration guide. The tutorial is directly reproducible for anyone building AI voice automation for service businesses, appointment booking systems, or customer intake pipelines using Vapi and n8n — making it a strong reference for developers exploring MCP-based voice agent architectures.


📺 Source: Nate Herk · Published December 07, 2025
🏷️ Format: Hands On Build