Airbnb Search & Listings - Desktop Extension (DXT)
Advanced Airbnb property search and listing details via Desktop Extension using MCP.
Key Features
Use Cases
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:
- Download the
.dxtfile from the releases page - Open your compatible AI application (e.g., Claude Desktop)
- Install the extension through the application's extension manager
- Configure the extension settings as needed
For Cursor, etc.
Before 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:json{ "mcpServers": { "airbnb": { "command": "npx", "args": [ "-y", "@openbnb/mcp-server-airbnb" ] } } }To ignore robots.txt for all requests, use this version with
--ignore-robots-txtargsjson{ "mcpServers": { "airbnb": { "command": "npx", "args": [ "-y", "@openbnb/mcp-server-airbnb", "--ignore-robots-txt" ] } } } -
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 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 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 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 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.
Star History
Repository Owner
Organization
Repository Details
Programming Languages
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.
Related MCPs
Discover similar Model Context Protocol servers
Tripadvisor MCP Server
Standardized MCP access to Tripadvisor travel data for AI assistants
Tripadvisor MCP Server provides Model Context Protocol (MCP) compliant access to Tripadvisor's Content API, enabling AI assistants to search, retrieve, and present travel-related information in a standardized way. It features endpoints for searching locations, accessing detailed information, reviews, and photos, as well as secure API key authentication. The project supports Docker containerization and interactive tools for customizable AI integration.
- ⭐ 47
- MCP
- pab1it0/tripadvisor-mcp
Raindrop.io MCP Server
Enable LLMs to manage and search Raindrop.io bookmarks via the Model Context Protocol.
Raindrop.io MCP Server is an integration that allows large language models to interact with Raindrop.io bookmarks using the Model Context Protocol. It provides tools to create and search bookmarks, including filtering by tags, and is designed for interoperability with environments like Claude for Desktop. Installation can be done via Smithery or manually, and configuration is managed through environment variables. The project is open source and optimized for secure, tokenized access to Raindrop.io.
- ⭐ 63
- MCP
- hiromitsusasaki/raindrop-io-mcp-server
Google Workspace MCP Server
Full natural language control of Google Workspace through the Model Context Protocol.
Google Workspace MCP Server enables comprehensive natural language interaction with Google services such as Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, and Chat via any MCP-compatible client or AI assistant. It supports both single-user and secure multi-user OAuth 2.1 authentication, providing a production-ready backend for custom apps. Built on FastMCP, it delivers high performance and advanced context handling, offering deep integration with the entire Google Workspace suite.
- ⭐ 890
- MCP
- taylorwilsdon/google_workspace_mcp
Google Workspace MCP Server
A secure MCP server bridging Google Workspace and AI clients.
Google Workspace MCP Server implements the Model Context Protocol to enable secure integration between Google Workspace services—such as Gmail, Calendar, and Drive—and any MCP-compatible AI client. It allows users to read, search, create, update, and delete Google Calendar events, emails, and Drive files directly through an AI agent interface. The tool ensures authentication via Google OAuth and provides a seamless setup process for both server and client sides. This makes it easier for AI-powered workflows to interact with Google Workspace data securely and contextually.
- ⭐ 20
- MCP
- giuseppe-coco/Google-Workspace-MCP-Server
Dappier MCP Server
Real-time web search and premium data access for AI agents via Model Context Protocol.
Dappier MCP Server enables fast, real-time web search and access to premium data sources, including news, financial markets, sports, and weather, for AI agents using the Model Context Protocol (MCP). It integrates seamlessly with tools like Claude Desktop and Cursor, allowing users to enhance their AI workflows with up-to-date, trusted information. Simple installation and configuration are provided for multiple platforms, leveraging API keys for secure access. The solution supports deployment via Smithery and direct installation with 'uv', facilitating rapid setup for developers.
- ⭐ 35
- MCP
- DappierAI/dappier-mcp
Campertunity MCP Server
Model Context Protocol server for AI-driven camping and outdoor recreation data
Implements the Model Context Protocol (MCP) to provide AI models with structured access to camping and outdoor recreation data. Offers tools for searching, filtering, and booking campgrounds and sites based on a wide range of criteria. Enhances data accuracy with AI and aggregates information from multiple sources, enabling dynamic, real-time queries and bookings. Ideal for integrating intelligent camping experiences into AI-driven applications.
- ⭐ 11
- MCP
- campertunity/mcp-server
Didn't find tool you were looking for?