AI-Powered Travel Draft Planner with Live Flights and Airbnbs

Here is the Full Node-by-Node Breakdown of the workflow Workflow

1. Webhook (Webhook)

• Purpose: Accepts incoming user queries via HTTP GET with the text parameter.
• Example input: 4 people from Germany to Bangkok @14th August 2025

2. AI Agent (AI Agent)

• Type: LangChain Agent
• Model: Google Gemini 2.5 Flash via Vertex AI
• Prompt logic:
  • Extracts structured travel info (origin city, destination, date, number of people)
  • Determines 3-letter IATA codes
  • Uses MCP’s Airbnb Tool to scrape listings starting from that date
• Returns:
  • A markdown + bullet-format response with:
    • Structured trip info
    • List of Airbnb listings with titles, price, rating, and link

3. MCP Client List Tool (MCP Client List Tool)

• Purpose: Fetches a list of tools registered with MCP (Multi Channel Parser) client for the AI agent to select from
• Used by: AI Agent as part of listTools() phase

4. MCP Execute Tool (MCP Execute Tool)

• Purpose: Executes the selected MCP tool (Airbnb scraper)
• Tool input: Dynamic — passed by AI Agent using $fromAI('Tool_Parameters')

5. Google Vertex Chat Model (Google Vertex Chat Model)

• Purpose: Acts as the LLM behind the AI Agent
• Model: Gemini 2.5 Flash from Vertex AI
• Used for: Language understanding, extraction, decision-making

6. Grabbing Clean Data (Code Node)

• Purpose: Parses AI output to extract:
  • Structured trip data
  • Airbnb listings (with title, rating, price, link)
• Handles:
  • Bullet (•) and asterisk (*) formats
  • New and old markdown styles
  • Fallbacks for backward compatibility
• Output: Clean JSON:

  {
    "tripInformation": {...},
    "listings": [...],
    "totalListings": X,
    ...
  }
  

7. Flight Search with fare (HTTP Request)

• API: Amadeus Flight Offers API
• Purpose: Searches live flight offers using:
  • originIataCode
  • destinationIataCode
  • travelDate
  • numberOfPeople
• Auth: OAuth2

8. Flight Data + Airbnb Listings (Code Node)

• Purpose:
  • Parses Amadeus flight offers
  • Formats date, time, and durations
  • Merges flight results with earlier Airbnb + trip info JSON
  • Sorts by cheapest total price
• Output:

  {
    "tripInformation": {...},
    "listings": [...],
    "allFlightOffers": [...]
  }
  

9. Edit Fields (Set Node)

• Purpose:
  • Assigns final response fields into clean keys:
    • traveldetails
    • listings
    • flights

10. Respond to Webhook

• Purpose: Sends back the final structured JSON response to the caller.
• Output: Combined travel itinerary with flights + Airbnb

Summary

This end-to-end workflow is a fully autonomous travel query-to-itinerary engine. From a plain text like “4 people from Vijayawada to Bangkok @14th August 2025,” it:

• Parses and understands the query using an AI agent
• Fetches Airbnb stays by scraping live listings
• Searches real-time flights via Amadeus
• Merges and formats everything into structured, digestible JSON

No manual parsing, no frontend — just AI + APIs + automation.

NOTE: I JUST USED A COMMUNITY NODE “n8n-nodes-mcp” + UNOFFICIAL AIRBNB MCP