Airbnb MCP Server

Overview

The MCP Airbnb Server bridges the gap between AI assistants and real‑world travel data by exposing a lightweight, API‑like interface to Airbnb listings. Instead of relying on proprietary SDKs or paid APIs, this server scrapes public search and listing pages while respecting Airbnb’s directives. It returns clean, JSON‑structured data that can be ingested directly into Claude or any MCP‑compatible client. This approach enables developers to build travel planning tools, price comparison engines, or itinerary generators without the overhead of managing API keys or dealing with rate limits.

What Problem Does It Solve?

Travel planners and itinerary builders often need up‑to‑date availability, pricing, and host information from Airbnb. Commercial APIs are scarce, expensive, or limited in scope. By scraping the website and providing a deterministic response format, the MCP Airbnb Server eliminates these barriers. Developers can query for listings by location or retrieve detailed data on a specific ID, all through a simple JSON contract. The server’s automatic handling of pagination (via the parameter) and optional filtering (price ranges, guest counts, pet policies) further reduces the effort required to surface relevant results.

Core Capabilities

• Search Tool (): Accepts a location string and optional filters such as dates, guest counts, price bounds, and pagination cursor. Returns a flattened array of listings that includes key attributes—name, price, proximity, and an absolute Airbnb URL.
• Detail Tool (): Fetches comprehensive information for a single listing ID, including host details, amenities, full description, and pricing tiers. The output also contains the direct URL to the Airbnb page for quick reference or booking.
• Robots‑Compliant Scraping: The server honors Airbnb’s by default, ensuring ethical data collection. An optional flag allows bypassing these rules when necessary.
• No API Key Required: Because it scrapes publicly accessible pages, there is no need for credentials or subscription fees.
• Structured JSON Output: All responses are flattened and curated to minimize context size, making them ideal for prompt engineering and conversation management.

Real‑World Use Cases

• Travel Concierge Bots: A chatbot can ask a user for a destination and dates, then use to present the top 5 options with direct booking links.
• Price Comparison Widgets: Integrate the server into a web app that compares Airbnb prices against other accommodation platforms in real time.
• Trip Planning Applications: Pull detailed listing data to populate itinerary cards, host notes, or amenity checklists for travelers.
• Data Analysis Pipelines: Periodically scrape listings to build datasets on market trends, price fluctuations, or host popularity for research purposes.

Integration with AI Workflows

Developers embed the MCP Airbnb Server into Claude’s prompt context by declaring it as a tool. The assistant can then invoke or within a conversation, receiving structured JSON that can be parsed or displayed directly. Because the server’s output is concise and context‑friendly, it fits neatly into Claude’s few‑shot or chain‑of‑thought prompting strategies. The direct URLs included in the responses also enable seamless handoff to users for final booking steps.

Unique Advantages

• Zero‑Cost Access: No API key or subscription; just a simple Node.js command.
• Ethical Scraping: Built‑in respect for reduces the risk of violating Airbnb’s terms.
• Ease of Deployment: The server can be launched locally via or managed through Smithery, making it accessible to both solo developers and teams.
• Developer‑Friendly Design: Clear input schemas, optional parameters for fine‑grained control, and flattened JSON outputs streamline integration into existing AI workflows.

In summary, the MCP Airbnb Server equips AI assistants with reliable, up‑to‑date accommodation data while keeping the integration lightweight and compliant. It is a practical solution for any developer looking to enrich travel‑related conversations or applications with real Airbnb listings without the complexity of commercial APIs.