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

Name: Claude + n8n MCP — Build a Production– Ready AI Receptionist
Author: Baturi

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

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Claude + n8n MCP — Build a Production– Ready AI Receptionist, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 9/2026
Created by Nikhil Agarwal
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 64 Lectures ( 6h 45m ) | Size: 10.3 GB

Build n8n AI Agents for Web Chat, WhatsApp and Voice — real workflow automation with Claude, MCP & Supabase

What you'll learn

⚡ 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

❗ 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

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

⭐ 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

https://www.udemy.com/course/claude-n8n-mcp-build-a-production-ready-ai-receptionist

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