chatBnB – A Privacy‑First Airbnb Search MCP Server

chatBnB is a lightweight Model Context Protocol (MCP) server that turns an AI assistant into a conversational Airbnb search tool. It receives natural‑language queries, translates them into structured requests to the public Airbnb API (or scraped listings), and returns a curated list of properties that match the user’s preferences. The server is intentionally simple: it does not collect, store, or share any personal data, ensuring every interaction remains transient and fully compliant with privacy best practices.

The core value of chatBnB lies in its ability to embed real‑time travel‑planning functionality directly into AI workflows. Developers can expose the server as a tool within their own custom GPTs, allowing end users to ask for “budget-friendly stays in Berlin next month” or “family‑friendly villas near the beach” and receive instant, relevant results without leaving the chat interface. Because it operates entirely on publicly available data, there is no need for API keys or OAuth tokens, reducing friction and making the system easy to deploy in internal or client‑facing environments.

Key capabilities include:

• Natural‑language parsing: The server interprets user intent, extracting location, dates, price range, and property type.
• Dynamic filtering: It applies Airbnb’s standard filters (bedrooms, amenities, minimum nights) to narrow results.
• Result formatting: Listings are returned with concise summaries, prices, and direct booking links, ready for display in the assistant’s response.
• Stateless operation: Each request is independent, so the server never retains user context or personal data.

Typical use cases span travel agencies, real‑estate portals, and hospitality chatbots. A concierge bot can answer quick booking questions on a hotel’s website; a travel planner app can surface alternative accommodations when a user’s itinerary changes. In all scenarios, chatBnB removes the need for developers to build and maintain custom search logic, letting them focus on higher‑level conversation flows.

Because chatBnB is fully open source and hosted via a simple MCP interface, it offers several standout advantages: zero‑data‑collection guarantees for privacy‑concerned clients, no vendor lock‑in due to its public‑API reliance, and an extensible architecture that can be swapped out for other listing services with minimal effort. For developers already familiar with MCP, integrating chatBnB is as straightforward as registering a new tool endpoint and defining the prompt schema that maps user queries to Airbnb search parameters.