@openbnb/mcp-server-airbnb
MCP ServerFreeMCP server for Airbnb search and listing details
Capabilities5 decomposed
airbnb listing search with location and date filtering
Medium confidenceExecutes parameterized searches against Airbnb's listing database using location coordinates, check-in/check-out dates, guest count, and property type filters. Implements MCP tool protocol to expose search as a callable function with structured input validation, returning paginated result sets with listing metadata. Abstracts Airbnb's web scraping or API layer behind a standardized MCP interface, enabling LLM agents to compose multi-step travel planning workflows without direct HTTP handling.
Exposes Airbnb search as a native MCP tool callable by Claude and other LLM agents, enabling multi-step travel planning workflows without requiring agents to handle HTTP requests or parse HTML directly. Uses MCP's standardized tool schema to define search parameters with type validation.
Simpler integration than building custom Airbnb API clients or web scrapers — MCP protocol handles serialization, error handling, and LLM-agent compatibility automatically
airbnb listing detail retrieval with full property metadata
Medium confidenceFetches comprehensive property information for a specific Airbnb listing ID, including description, amenities, house rules, cancellation policy, host profile, reviews, and booking calendar. Implements MCP tool that accepts a listing ID and returns a structured object with all publicly available metadata. Enables agents to drill down from search results into detailed property information for decision-making or comparison workflows.
Provides structured, nested JSON output of all property metadata in a single call, avoiding the need for agents to parse HTML or make multiple API requests. MCP schema defines all output fields with types, enabling type-safe access from LLM agents.
More complete than Airbnb's official API (which has limited free tier) and simpler than web scraping — MCP abstraction handles data extraction and formatting transparently
mcp tool schema registration and llm agent binding
Medium confidenceRegisters Airbnb search and listing detail operations as MCP tools with JSON schema definitions, enabling Claude and other LLM agents to discover, understand, and invoke these capabilities through the MCP protocol. Implements tool schema with parameter definitions, descriptions, and required/optional field specifications. Handles tool invocation routing, parameter validation, and response serialization back to the LLM agent.
Uses MCP's standardized tool schema protocol to expose Airbnb operations, eliminating the need for custom prompt engineering or function calling adapters. Schema-driven approach enables automatic tool discovery by any MCP-compatible LLM client.
More portable than custom OpenAI function calling or Anthropic tool_use implementations — MCP schema works across any LLM provider that supports the protocol
multi-step travel planning workflow orchestration
Medium confidenceEnables LLM agents to compose search and detail retrieval operations into multi-step workflows (e.g., search locations → filter results → retrieve details → compare properties → build recommendation). Implements MCP tool chaining where agent can call search, iterate through results, fetch details for promising listings, and aggregate data for decision-making. Agent maintains context across tool calls and uses intermediate results to refine subsequent queries.
Leverages MCP's tool calling protocol to enable agents to chain Airbnb operations without explicit workflow definition — agent reasoning drives the sequence of search, filter, and detail retrieval steps based on user intent.
More flexible than hardcoded travel booking workflows — agent can adapt strategy based on results and user feedback in real-time
airbnb data source abstraction and backend integration
Medium confidenceAbstracts the underlying Airbnb data source (web scraping, unofficial API, or other integration) behind the MCP server interface, isolating clients from implementation details. Handles data fetching, transformation, and caching at the server layer. Enables switching between different Airbnb data sources without changing client code or tool schemas. Implements error handling, rate limiting, and retry logic at the server level.
Centralizes Airbnb data fetching logic in the MCP server, allowing clients to remain agnostic to implementation details. Enables easy swapping of data sources or adding caching/rate limiting without client changes.
Cleaner separation of concerns than embedding scraping logic in LLM agent code — server handles infrastructure concerns like caching, rate limiting, and error recovery
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with @openbnb/mcp-server-airbnb, ranked by overlap. Discovered automatically through the match graph.
MCP Seeker
Search hotels by city, state, country, or geolocation and explore detailed property info. Check live availability, compare rates and room types, and review boards and promotions. Create ready-to-book links with preselected rooms, rates, supplements, and optional guest details.
Airbnb Search Server
Search for Airbnb listings and get detailed information about accommodations. Access direct links to Airbnb listings in your search results, making it easy to plan your next trip.
Airbnb Search and Listing Details Server
Search Airbnb listings and retrieve detailed information about specific listings. Get structured JSON data without requiring an API key, while respecting Airbnb's robots.txt rules. Simplify your vacation rental planning with easy access to Airbnb data.
scholarmcp
MCP server: scholarmcp
adzuna-mcp
MCP server: adzuna-mcp
@amap/amap-maps-mcp-server
MCP server for using the AMap Maps API
Best For
- ✓LLM agents and AI assistants building travel planning workflows
- ✓Developers integrating Airbnb data into multi-provider booking systems
- ✓Travel recommendation systems that need real-time availability data
- ✓Travel planning agents that need to evaluate properties in detail before recommending
- ✓Comparison tools that aggregate Airbnb listings with other rental platforms
- ✓Booking assistants that validate property constraints against user requirements
- ✓Developers building Claude-powered travel assistants or booking agents
- ✓Teams integrating Airbnb into multi-tool LLM agent systems
Known Limitations
- ⚠Depends on Airbnb's underlying data source stability — scraping-based implementations may break with UI changes
- ⚠No authentication support — searches limited to public listing data only
- ⚠Pagination may be limited by Airbnb's rate limiting or result set caps
- ⚠No real-time pricing updates — cached or delayed pricing data possible
- ⚠Requires valid Airbnb listing ID — no fuzzy matching or search-to-detail chaining built-in
- ⚠Review data may be paginated or truncated — full review history may not be available
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
Package Details
About
MCP server for Airbnb search and listing details
Categories
Alternatives to @openbnb/mcp-server-airbnb
Search the Supabase docs for up-to-date guidance and troubleshoot errors quickly. Manage organizations, projects, databases, and Edge Functions, including migrations, SQL, logs, advisors, keys, and type generation, in one flow. Create and manage development branches to iterate safely, confirm costs
Compare →Are you the builder of @openbnb/mcp-server-airbnb?
Claim this artifact to get a verified badge, access match analytics, see which intents users search for, and manage your listing.
Get the weekly brief
New tools, rising stars, and what's actually worth your time. No spam.
Data Sources
Looking for something else?
Search →