Airbnb stays by location and dates, and full listing details, as structured JSON.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
A hosted Model Context Protocol (MCP) server that gives Claude, Cursor, Windsurf and any other MCP client two read-only Airbnb tools. Search stays by location and dates, and read a single listing in full, all as structured JSON, with no Airbnb developer account and no partner approval.
It reads public listing pages that a signed-out visitor can see.
An MCP client and a HasData API key from the dashboard, free to create with no card, and the trial covers about 200 calls at the 5-credit rate. This is a remote server, so the simplest path is a URL and an x-api-key header, with no container to run and no Airbnb developer account anywhere in the flow. A client that only speaks stdio reaches it through a thin launcher, published as @hasdata/airbnb-mcp on npm and hasdata-airbnb-mcp on PyPI, shown below.
The server URL is the same for every client. We run it hands-on in Claude Code and Claude Desktop. The other blocks follow each client's own documented format for a remote server.
| Field | Value |
|---|---|
| URL | https://mcp.hasdata.com/api/mcp?apis=airbnb |
| Transport | HTTP, streamable |
| Auth header | x-api-key: HASDATA_API_KEY |
Clients with OAuth support can add the same URL as a connector and sign in without putting a key in a config file.
Settings, then Connectors, then Add custom connector, then paste https://mcp.hasdata.com/api/mcp?apis=airbnb and sign in.
For the config-file route, Claude Desktop loads only local (stdio) servers, so it reaches a remote server through a stdio launcher. The @hasdata/airbnb-mcp package is that launcher, and it reads the key from the environment. Add this to claude_desktop_config.json:
For Python instead of Node, swap the launcher for the PyPI package, which uvx runs without a manual install:
~/.cursor/mcp.json for every project, or .cursor/mcp.json for one:
~/.codeium/windsurf/mcp_config.json. Windsurf calls the field serverUrl, not url:
.vscode/mcp.json in the workspace:
Prompts, not code. Paste one in and the agent picks the tool itself. Each is annotated with the calls it takes, because every successful call costs 5 credits.
Search Austin stays for two adults from September 15 to 18 and give me the ten highest-rated under $200 a night.
One call, 5 credits. Rating and nightly price come back on the search result.
Take the top result and pull its full amenities, the guest and bedroom count, and the host details.
One call, 5 credits. Those live on the property page, which the details tool reads by URL.
Compare the nightly price of a three-night stay for two guests in Austin against Nashville.
Two calls, 10 credits, one search per city.
For this listing URL, tell me how many beds and baths it has and whether the host is a Superhost.
One call, 5 credits.
A search result is deliberately light, enough to rank and shortlist. The amenities, beds, host and full description come from the property call, so a prompt that shortlists then inspects three homes is one search plus three property calls.
Two tools, read-only. Samples below are trimmed from real calls, and the numbers move as Airbnb updates. Read them as shapes. Each tool name links to its endpoint reference, which carries the full field list.
The samples are the payload, not the whole response. A tools/call result carries one text block, and that text is itself JSON holding url, status, text and json, with the scraped data under json. From a raw JSON-RPC response the path is result.content[0].text, parsed, then .json. A chat client unwraps that for you and code talking to the endpoint directly does not.
hasdata_airbnb_listing_getAirbnbListings
A page of search results by location and dates.
| Parameter | Type | Required | Notes |
|---|---|---|---|
location | string | yes | The place to search, such as Austin, Texas |
checkIn | string | yes | Check-in date, YYYY-MM-DD |
checkOut | string | Check-out date, YYYY-MM-DD | |
adults / children / infants / pets | number | Guest composition, each a count | |
nextPageToken | string | The pagination.nextPageToken from the previous response |
Returns a properties array and pagination, whose nextPageToken and pageTokens walk the result set. Each property carries id, url, title, latitude, longitude, a short description tagline, a photos array, rating, reviews, a badges array such as Guest favorite or Superhost, and a price object. price holds originalPrice, an optional discountedPrice when the stay is discounted, a qualifier like for 3 nights, and a breakdown.
A search result is intentionally light. Beds, baths, amenities, the host and the full description are not here, they come from the property tool below. Do not expect a bedroom count on a search result.
hasdata_airbnb_property_getAirbnbPropertyDetails
One listing in full, by its URL.
| Parameter | Type | Required | Notes |
|---|---|---|---|
url | string | yes | An Airbnb listing URL, the url field from a search result |
Returns title, an overview array like ["4 guests", "2 bedrooms", "2 beds", "2 baths"], the full description, rating, reviews, address, latitude, longitude, a photos array, guestCapacity, a host object, an amenities array, and safetyAndPropertyInfo. The host object carries name, isSuperhost, isVerified, the host's own reviews, rating and yearsHosting. Each amenity carries a title, a type, an optional description and an available flag, so a filter reads available, it does not assume every listed amenity is present.
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