Airbnb MCP

This MCP server turns Claude into a surprisingly capable Airbnb search assistant. Point it at a destination, add filters for dates, guest count, price range, or property type, and it returns structured listing data including titles, prices, ratings, and direct URLs. The implementation respects robots.txt by default, which is a thoughtful touch that most scraper-adjacent tools skip. I'd reach for this when planning trips where I want to compare options conversationally rather than clicking through Airbnb's interface. Ask Claude to find pet-friendly places in Barcelona under £100 a night, then drill into specific listings for amenities and reviews. The retrieval tool pulls detailed property information once you've narrowed your search, so you can ask follow-up questions about specific listings without leaving your editor. The workflow is straightforward: search returns a list, you pick interesting IDs, then retrieve full details. It's faster than tabbing between browser windows when you're juggling multiple criteria or comparing neighbourhoods. The data structure is clean enough that you can ask Claude to build comparison tables or filter by specific amenities programmatically. Quirks are minimal but worth noting. The server depends on Airbnb's public data availability, so if their site structure changes or rate limits kick in, you'll notice. There's no authentication layer, so you're working with publicly visible listings only. No booking functionality either, this is purely a research tool. The robots.txt compliance means you won't accidentally hammer their servers, but it also means you're constrained by what they allow scrapers to access. Skip this if you're building production travel apps or need real-time availability. It's a research assistant, not an integration. But for personal trip planning or quick market research on accommodation pricing, it's exactly the right level of utility without overengineering.