Title: Build a Voice AI Receptionist That Books Appointments With MCP in n8n
Voice AI agents have come a long way.
What used to take a bunch of custom tools and webhook wiring can now be done much faster using MCP.
In this video, I show how to build a simple AI receptionist that:
- Answers calls
- Collects customer info
- Checks availability
- Books appointments into Google Calendar
- Saves the customer record into Google Sheets
- Sends a confirmation email
Here is the flow, step by step:
1. Set up the voice agent in Vapi
- Use GPT 4.1 mini for lower cost and faster responses
- Make the assistant speak first
- Add a system prompt with identity, tone, and tool instructions
2. Connect Vapi to n8n using MCP
- Add an MCP Server Trigger in n8n
- Build your tools as sub workflows
- In Vapi, create an MCP tool and paste the MCP server URL
- Add an Authorization header using your n8n API key
3. Create the sub workflows (these become your tools)
- Get user
- Search the Google Sheet by email
- If not found, return “new client” so the agent knows to create them
- Create user
- Append a new row with name, phone, email, and call date
- Get available slots
- Pull calendar events for the requested date
- Return busy times between business hours (example 9:00 AM to 5:00 PM)
- Book appointment
- Create the Google Calendar event
- Update the user row with service type and appointment time
- Send a confirmation email
4. Let the model fill tool parameters automatically
- In the MCP trigger inputs, use “defined automatically by the model”
- This avoids extra agents and reduces latency and cost
5. Test the full experience end to end
- Call the number
- Book an appointment
- Confirm the data shows up in Sheets and Calendar
- Confirm the email is sent
If you want to build this exact setup, I included the resources and workflows in the description.
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Josue Hernandez
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Title: Build a Voice AI Receptionist That Books Appointments With MCP in n8n
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