Skip to main content

Restaurant GPT-4 receptionist for bookings & delivery using Vapi, Telegram, Airtable

Workflow preview

Workflow preview
100%
Restaurant GPT-4 receptionist for bookings & delivery using Vapi, Telegram, Airtable preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This AI receptionist handles restaurant bookings and delivery orders with Vapi, Telegram, and Airtable Who’s it for This n8n template is built for restaurants that want to automate table bookings a...

Best for

  • Support Chatbot automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.mcptrigger, @n8n/n8n-nodes-langchain.toolworkflow, n8n-nodes-base.executeworkflowtrigger, n8n-nodes-base.if, n8n-nodes-base.set, n8n-nodes-base.airtable, n8n-nodes-base.code, n8n-nodes-base.noop

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Max.

Original n8n.io source

1.1 Workflow description

Title
Restaurant GPT-4 receptionist for bookings & delivery using Vapi, Telegram, Airtable
Workflow name
Restaurant GPT-4 receptionist for bookings & delivery using Vapi, Telegram, Airtable

This AI receptionist handles restaurant bookings and delivery orders with Vapi, Telegram, and Airtable

Who’s it for

This n8n template is built for restaurants that want to automate table bookings and delivery or takeaway orders using an AI receptionist. It’s suitable for small to mid-sized restaurants that receive bookings and orders via voice calls or Telegram and want a structured, reliable backend without manual handling.

How it works

The workflow powers an AI receptionist that operates through Vapi (voice) and Telegram (chat).
For table bookings, it collects party size and preferred time, checks table availability within the requested time range, and returns available options or a “no availability” response.
For orders, the menu is fetched from Airtable, items are validated, prices are calculated, and order details are collected. Delivery addresses are validated and checked against supported areas. If delivery is unavailable, the system automatically offers takeaway. All confirmed bookings and orders are saved to Airtable.

How to set up

  1. Download JSON flows from the Dropbox folder, copy Airtable base with template tables to your account.
  2. Get Airtable, OpenAI, Telegram Bot, Google Maps API credentials.
  3. Set up credentials and test.

How to customize the workflow

You can plug a VAPI assistant. Copy the prompt from the AI agent and paste it into VAPI system prompt section. Also add MCP tool and call it restaurant tool. You can adjust booking rules, table capacity logic, menu structure, restaurant location, delivery zones, pricing calculations, and message wording to match your restaurant’s operations.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - MCP Server Trigger

Type / Role
@n8n/n8n-nodes-langchain.mcpTrigger - mcpTrigger
Config choices
Version 2

Block 2 - Call "Check Availability"

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 3 - Call "Update appointment"

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 4 - Call "Delete Appointment"

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 5 - Call "Book Table"

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 6 - Call "Get a Booking"

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 7 - Call 'Get Menu'

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 8 - Call 'Calculate the Price'

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 9 - Call 'Validate the Address'

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 10 - Call 'Create a Takeaway Order'

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 11 - Call 'Create a Delivery Order'

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 12 - Call 'Get an Order'

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 13 - When Executed by Another Workflow

Type / Role
n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices
Version 1.1

Block 14 - If

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.3

Block 15 - If1

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.3

Block 16 - Can't Handle Party

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 17 - Table is not available

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 18 - Get All Tables

Type / Role
n8n-nodes-base.airtable - airtable
Config choices
Version 2.1

Block 19 - Set Timezone

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 20 - Check Max Capacity

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 21 - Get Availability

Type / Role
n8n-nodes-base.airtable - airtable
Config choices
Version 2.1

Block 22 - Table-Availability Selector

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 23 - Normalize Output

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 24 - Convert Time to UTC

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Showing the first 24 of 122 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Restaurant GPT-4 receptionist for bookings & delivery using Vapi, Telegram, Airtable
Complexity advanced
Nodes 122
Categories Support Chatbot, AI Chatbot
Author Max
Published 21 Dec 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/12004/12004.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Restaurant GPT-4 receptionist for bookings & delivery using Vapi, Telegram, Airtable do?

This AI receptionist handles restaurant bookings and delivery orders with Vapi, Telegram, and Airtable Who’s it for This n8n template is built for restaurants that want to automate table bookings a...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.