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Airbnb Search & Listings

by ampcome-mcps

Search and explore Airbnb listings with advanced filters—retrieve detailed property info via a fast MCP server interface

Enables users to search Airbnb listings with advanced filtering options and retrieve detailed property information through an MCP server interface.

github stars

0

Advanced filtering optionsDirect booking links provided

best for

  • / Travel planning and accommodation research
  • / Price comparison across different properties
  • / Finding specific amenities or property types
  • / Automating vacation rental searches

capabilities

  • / Search Airbnb properties by location and dates
  • / Filter listings by price, property type, and amenities
  • / Retrieve detailed property information and photos
  • / Get direct booking links for listings
  • / Browse results with pagination support

what it does

Search Airbnb listings with advanced filters and retrieve detailed property information including direct booking links.

how to install

You can install Airbnb Search & Listings 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.

license

MIT

Airbnb Search & Listings is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Airbnb Search & Listings - Desktop Extension (DXT)

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.

Features

🔍 Advanced Search Capabilities

  • Location-based search with support for cities, states, and regions
  • Google Maps Place ID integration for precise location targeting
  • Date filtering with check-in and check-out date support
  • Guest configuration including adults, children, infants, and pets
  • Price range filtering with minimum and maximum price constraints
  • Pagination support for browsing through large result sets

🏠 Detailed Property Information

  • Comprehensive listing details including amenities, policies, and highlights
  • Location information with coordinates and neighborhood details
  • House rules and policies for informed booking decisions
  • Property descriptions and key features
  • Direct links to Airbnb listings for easy booking

🛡️ Security & Compliance

  • Robots.txt compliance with configurable override for testing
  • Request timeout management to prevent hanging requests
  • Enhanced error handling with detailed logging
  • Rate limiting awareness and respectful API usage
  • Secure configuration through DXT user settings

Installation

For Claude Desktop

This extension is packaged as a Desktop Extension (DXT) file. To install:

  1. Download the .dxt file from the releases page
  2. Open your compatible AI application (e.g., Claude Desktop)
  3. Install the extension through the application's extension manager
  4. Configure the extension settings as needed

For Cursor, etc.

Before starting make sure Node.js is installed on your desktop for npx to work.

  1. Go to: Cursor Settings > Tools & Integrations > New MCP Server

  2. 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"
          ]
        }
      }
    }
    
  3. Restart.

Configuration

The extension provides the following user-configurable options:

Ignore robots.txt

  • Type: Boolean (checkbox)
  • Default: false
  • Description: Bypass robots.txt restrictions when making requests to Airbnb
  • Recommendation: Keep disabled unless needed for testing purposes

Tools

airbnb_search

Search 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 format
  • checkout (optional): Check-out date in YYYY-MM-DD format
  • adults (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 night
  • maxPrice (optional): Maximum price per night
  • cursor (optional): Pagination cursor for browsing results
  • ignoreRobotsText (optional): Override robots.txt for this request

Returns:

  • Search results with property details, pricing, and direct links
  • Pagination information for browsing additional results
  • Search URL for reference

airbnb_listing_details

Get detailed information about a specific Airbnb listing.

Parameters:

  • id (required): Airbnb listing ID
  • checkin (optional): Check-in date in YYYY-MM-DD format
  • checkout (optional): Check-out date in YYYY-MM-DD format
  • adults (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 request

Returns:

  • Detailed property information including:
    • Location details with coordinates
    • Amenities and facilities
    • House rules and policies
    • Property highlights and descriptions
    • Direct link to the listing

Technical Details

Architecture

  • Runtime: Node.js 18+
  • Protocol: Model Context Protocol (MCP) via stdio transport
  • Format: Desktop Extension (DXT) v0.1
  • Dependencies: Minimal external dependencies for security and reliability

Error Handling

  • Comprehensive error logging with timestamps
  • Graceful degradation when Airbnb's page structure changes
  • Timeout protection for network requests
  • Detailed error messages for troubleshooting

Security Measures

  • Robots.txt compliance by default
  • Request timeout limits
  • Input validation and sanitization
  • Secure environment variable handling
  • No sensitive data storage

Performance

  • Efficient HTML parsing with Cheerio
  • Request caching where appropriate
  • Minimal memory footprint
  • Fast startup and response times

Compatibility

  • Platforms: macOS, Windows, Linux
  • Node.js: 18.0.0 or higher
  • Claude Desktop: 0.10.0 or higher
  • Other MCP clients: Compatible with any MCP-supporting application

Development

Building from Source

# Install dependencies
npm install

# Build the project
npm run build

# Watch for changes during development
npm run watch

Testing

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

Legal and Ethical Considerations

  • Respect Airbnb's Terms of Service: This extension is for legitimate research and booking assistance
  • Robots.txt Compliance: The extension respects robots.txt by default
  • Rate Limiting: Be mindful of request frequency to avoid overwhelming Airbnb's servers
  • Data Usage: Only extract publicly available information for legitimate purposes

Support

  • Issues: Report bugs and feature requests on GitHub Issues
  • Documentation: Additional documentation available in the repository
  • Community: Join discussions about MCP and DXT development

License

MIT License - see LICENSE file for details.

Contributing

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.

FAQ

What is the Airbnb Search & Listings MCP server?
Airbnb Search & Listings is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Airbnb Search & Listings?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Airbnb Search & Listings is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Airbnb Search & Listings against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Airbnb Search & Listings is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Airbnb Search & Listings reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Airbnb Search & Listings for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Airbnb Search & Listings surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Airbnb Search & Listings has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Airbnb Search & Listings benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Airbnb Search & Listings into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Airbnb Search & Listings is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.