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

Build n8n AI Agents for Web Chat, WhatsApp and Voice - real workflow automation with Claude, MCP & Supabase
What you'll learn

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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
Requirements

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Comfortable using web applications and able to follow API and credential setup steps
Basic understanding of APIs or automation is helpful, but no machine learning experience is required
Description

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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.
Who this course is for

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Software developers and technical learners interested in applied AI agents and workflow automation
Automation professionals and n8n builders who want a structured path from core workflows to production channels
Freelancers, consultants and agencies building AI automation solutions for appointment-driven businesses
Technical founders and product teams prototyping AI receptionist or customer-operations systems
Learners who prefer project-based implementation over theory-only AI courses
Homepage

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