Claude + n8n MCP — Build a Production-Ready AI Receptionist

Build a production-ready, multi-channel AI Agent with n8n, Claude and MCP — one system across Web Chat, WhatsApp and Voice AI.

This course walks you through building an AI receptionist from the ground up using Claude, n8n, Model Context Protocol (MCP) and Supabase, then extending it to Web Chat, WhatsApp and Voice (via Vapi). You'll design the core booking architecture, build a real AI agent with memory, tools and guardrails, and take that same agent live across every channel a real business needs.

By the end of this course, you will be able to:

Design the architecture of a multi-channel AI receptionist and connect Claude to n8n and Supabase through MCP Build reusable appointment workflows, database functions and an AI agent with memory, tools and guardrails Launch and operate a web chat receptionist with calendar sync, email automation, staff controls and human escalation Build, harden and publish a WhatsApp AI receptionist with production OAuth and end-to-end booking verification Build a Vapi voice receptionist, apply call-safety controls and complete an appointment booking over the phone Validate, troubleshoot and audit AI automation workflows for production readiness and handoff

This is a hands-on, project-based course. Rather than covering AI theory, you'll build a real, working system step by step — the same architecture used by clinics, agencies and service businesses that need appointment booking automated across every channel their customers use.

No advanced machine learning background is required — just comfort using web applications and following API and credential setup steps.