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Airbnb MCP Server for LlamaIndex 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Airbnb as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Airbnb. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Airbnb?"
    )
    print(response)

asyncio.run(main())
Airbnb
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About Airbnb MCP Server

Connect your Airbnb account to any AI agent and take full control of travel planning, accommodation search, and reservation management through natural conversation.

LlamaIndex agents combine Airbnb tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Search Listings — Find Airbnb properties by city, neighborhood, or address with filters for dates, guests, and price range
  • Listing Details — Get complete property information including amenities, photos, house rules, and cancellation policies
  • Guest Reviews — Read reviews from previous guests to assess quality, accuracy, and host responsiveness
  • Availability Calendar — Check which dates are available or booked for any listing before planning your trip
  • Pricing Breakdown — See detailed pricing including nightly rate, cleaning fee, service fee, and total cost
  • Experiences — Discover local activities, tours, and events hosted by locals in your destination
  • Reservation Management — View upcoming trips, completed stays, and cancelled reservations
  • Host Information — Check host profile, response rate, and other properties they manage

The Airbnb MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Airbnb to LlamaIndex via MCP

Follow these steps to integrate the Airbnb MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 12 tools from Airbnb

Why Use LlamaIndex with the Airbnb MCP Server

LlamaIndex provides unique advantages when paired with Airbnb through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Airbnb tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Airbnb tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Airbnb, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Airbnb tools were called, what data was returned, and how it influenced the final answer

Airbnb + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Airbnb MCP Server delivers measurable value.

01

Hybrid search: combine Airbnb real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Airbnb to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Airbnb for fresh data

04

Analytical workflows: chain Airbnb queries with LlamaIndex's data connectors to build multi-source analytical reports

Airbnb MCP Tools for LlamaIndex (12)

These 12 tools become available when you connect Airbnb to LlamaIndex via MCP:

01

get_calendar

This helps plan trips by confirming availability before attempting to book. You can optionally specify a month (YYYY-MM format) to view a specific month's calendar. The response shows available dates, minimum stay requirements, and pricing variations by date. Check availability calendar for an Airbnb listing

02

get_experience

Use the experience_id from search_experiences to inspect full activity details before booking. This helps travelers understand what the experience entails and whether it matches their interests. Get detailed information about an Airbnb Experience

03

get_host

This helps guests evaluate host reliability and trustworthiness before booking. Use the host_id obtained from listing details to inspect host credentials. Get details about a listing host

04

get_listing

Use the listing_id obtained from search_listings to inspect full property details before booking. This includes bed/bath counts, capacity, check-in instructions, and guest reviews summary. Get detailed information about a specific Airbnb listing

05

get_pricing

You must provide check-in and check-out dates. Optionally specify number of guests as pricing may vary based on occupancy. This helps travelers understand the full cost before booking, including all fees and taxes. Get detailed pricing for an Airbnb listing

06

get_reservation

Use the reservation_id obtained from get_reservations to inspect specific booking details. This is useful for reviewing trip details, confirming booking status, or preparing for check-in. Get detailed information about a specific reservation

07

get_reservations

Shows upcoming trips, completed stays, and cancelled reservations. Optionally filter by status (upcoming, completed, cancelled) and limit the number of results. Each reservation includes listing details, dates, total price, and host information. Use this to review travel history or check upcoming trip details. Get current and past reservations for the authenticated user

08

get_reviews

Use the listing_id from search_listings to see what previous guests have said about their stay. Reviews help assess the quality, accuracy of listing description, host responsiveness, and overall guest experience. Optionally limit the number of reviews returned (default: all available). Get reviews for a specific Airbnb listing

09

get_user_profile

Use this to verify account access and view your profile details. Get the authenticated user profile

10

search_by_coordinates

This is useful for finding accommodations near a specific point of interest or when you know exact coordinates. Optionally specify a search radius in kilometers, check-in/check-out dates, and number of guests. Results are sorted by proximity to the specified coordinates. Search listings by geographic coordinates

11

search_experiences

Experiences are unique activities hosted by locals, from food tours to adventure activities. Optionally specify a date to see what's available on a specific day. Results include experience name, host, duration, price, rating, and booking links. This helps travelers discover local activities beyond just accommodation. Search Airbnb Experiences in a location

12

search_listings

You can search by city name, neighborhood, or address. Optionally specify check-in and check-out dates (YYYY-MM-DD format), number of guests, and minimum/maximum price per night. This helps find available accommodations matching traveler preferences. Results include listing name, location, price, rating, amenities, and booking links. Search Airbnb listings by location

Example Prompts for Airbnb in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Airbnb immediately.

01

"Search for Airbnb listings in Paris for 2 guests, checking in March 15th and checking out March 20th, 2026."

02

"What Airbnb experiences are available in Tokyo on April 5th, 2026?"

03

"Show me my upcoming reservations and check the availability calendar for my next trip."

Troubleshooting Airbnb MCP Server with LlamaIndex

Common issues when connecting Airbnb to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Airbnb + LlamaIndex FAQ

Common questions about integrating Airbnb MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Airbnb tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Airbnb to LlamaIndex

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.