Integrate with Airbnb for effortless vacation rental search and detailed property info—no API keys needed. Ideal for ren
by openbnb-org·Updated Apr 13, 2026Fetch and extract information from websites automatically
Example: Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example: Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example: Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Interact with services that don't offer APIs
Example: Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
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We evaluated Airbnb against two servers with overlapping tools; this profile had the clearer scope statement.
Airbnb reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Airbnb is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Airbnb for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Airbnb has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Airbnb reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We evaluated Airbnb against two servers with overlapping tools; this profile had the clearer scope statement.
Airbnb has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend Airbnb for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Airbnb benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Claude Desktop configuration
{
"mcpServers": {
"airbnb": {
"command": "npx",
"args": [
"-y",
"@openbnb/mcp-server-airbnb"
]
}
}
}Searches Airbnb listings with detailed filtering options and retrieves comprehensive property information. Works without API keys by integrating directly with Airbnb's platform.
Airbnb is a community-built MCP server published by openbnb-org that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Airbnb for effortless vacation rental search and detailed property info—no API keys needed. Ideal for ren It is categorized under search web. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
You can install Airbnb in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.
A comprehensive Desktop Extension for searching Airbnb listings with advanced filtering capabilities and detailed property information retrieval. Built as a Model Context Protocol (MCP) server packaged in the Desktop Extension (DXT) format for easy installation and use with compatible AI applications.
This extension is packaged as a Desktop Extension (DXT) file. To install:
.dxt file from the releases pageBefore starting make sure Node.js is installed on your desktop for npx to work.
Go to: Cursor Settings > Tools & Integrations > New MCP Server
Add one the following to your mcp.json:
{
"mcpServers": {
"airbnb": {
"command": "npx",
"args": [
"-y",
"@openbnb/mcp-server-airbnb"
]
}
}
}
To ignore robots.txt for all requests, use this version with --ignore-robots-txt args
{
"mcpServers": {
"airbnb": {
"command": "npx",
"args": [
"-y",
"@openbnb/mcp-server-airbnb",
"--ignore-robots-txt"
]
}
}
}
Restart.
The extension provides the following user-configurable options:
falseairbnb_searchSearch for Airbnb listings with comprehensive filtering options.
Parameters:
location (required): Location to search (e.g., "San Francisco, CA")placeId (optional): Google Maps Place ID (overrides location)checkin (optional): Check-in date in YYYY-MM-DD formatcheckout (optional): Check-out date in YYYY-MM-DD formatadults (optional): Number of adults (default: 1)children (optional): Number of children (default: 0)infants (optional): Number of infants (default: 0)pets (optional): Number of pets (default: 0)minPrice (optional): Minimum price per nightmaxPrice (optional): Maximum price per nightcursor (optional): Pagination cursor for browsing resultsignoreRobotsText (optional): Override robots.txt for this requestReturns:
airbnb_listing_detailsGet detailed information about a specific Airbnb listing.
Parameters:
id (required): Airbnb listing IDcheckin (optional): Check-in date in YYYY-MM-DD formatcheckout (optional): Check-out date in YYYY-MM-DD formatadults (optional): Number of adults (default: 1)children (optional): Number of children (default: 0)infants (optional): Number of infants (default: 0)pets (optional): Number of pets (default: 0)ignoreRobotsText (optional): Override robots.txt for this requestReturns:
# Install dependencies
npm install
# Build the project
npm run build
# Watch for changes during development
npm run watch
The extension can be tested by running the MCP server directly:
# Run with robots.txt compliance (default)
node dist/index.js
# Run with robots.txt ignored (for testing)
node dist/index.js --ignore-robots-txt
MIT License - see LICENSE file for details.
Contributions are welcome! Please read the contributing guidelines and submit pull requests for any improvements.
Note: This extension is not affiliated with Airbnb, Inc. It is an independent tool designed to help users search and analyze publicly available Airbnb listings.
Time estimate: 20-40 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.