Block 1 - MCP Server Trigger
- Type / Role
- @n8n/n8n-nodes-langchain.mcpTrigger - mcpTrigger
- Config choices
- Version 2
This workflow is provided as-is. Please review and test before using in production.
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...
@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
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Max.
Original n8n.io sourceThis 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.
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.
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.
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.
Showing the first 24 of 122 workflow blocks. Download the JSON for the full node graph.
| 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 |
Use the JSON export at /data/workflows/12004/12004.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
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...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.