Description
“Claude + n8n MCP — Build a Production-Ready AI Receptionist” is a course published by Udemy that teaches how to combine Claude, n8n automation, and the Model Context Protocol (MCP). You will learn to connect an AI model to external tools, business data, APIs, and automated workflows, enabling the receptionist to understand requests, retrieve relevant information, and execute actions across connected services. Key concepts such as MCP integration, tool calling, context management, workflow orchestration, data handling, automation logic, and error management are covered. You will learn how to structure AI-driven workflows for seamless, reliable interactions and adapt the system to diverse business needs. You will design a multi-channel receptionist architecture, connect Claude to n8n and Supabase via MCP, and build reusable workflows for appointment scheduling, database operations, and an AI agent equipped with memory, tools, and safety guardrails.
Next, you will set up and deploy a web chat receptionist featuring calendar synchronization, email automation, staff controls, and human handoff capabilities. You will then build, harden, and launch a production-ready WhatsApp AI receptionist that utilizes OAuth and supports end-to-end appointment booking verification. Finally, you will create a voice-based receptionist using Vapi, implement call safety controls, and execute a complete appointment booking over the phone. By going through the development process, you will gain hands-on experience transforming the concept of an AI assistant into a connected automation solution capable of performing real-world tasks. You will also learn how to validate, debug, and audit AI automation workflows to ensure they are ready for production and deployment. Whether you are a developer, an automation specialist, or a business professional interested in AI agents, this course provides a practical foundation for building production-ready AI receptionist workflows using Claude and n8n.
What you will learn in Claude + n8n MCP — Build a Production-Ready AI Receptionist:
- 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
- and …
Course specifications
Publisher: Udemy
Instructors: Nikhil Agarwal
Language: English
Level: Introductory to Advanced
Number of Lessons: 64
Duration: 6 hours and 45 minutes
Course topics
Claude + n8n MCP — Build a Production-Ready AI Receptionist Prerequisites
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
Pictures
Claude + n8n MCP — Build a Production-Ready AI Receptionist introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 2160p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
10.1 GB