Tripadvisor
Tripadvisor
The Tripadvisor app brings trusted reviews and hotel insights into ChatGPT, offering a faster, more confident way to find the perfect place to stay. Travelers can explore top-rated hotels on an interactive, map-first view to instantly understand neighborhoods, distance, and vibe. They can refine results naturally through conversational follow-ups, access rich hotel details including traveler photos, recent reviews, amenities, compare price offers and click out seamlessly to booking partners or Tripadvisor for deeper research.
Snapshot
First seen
Dec 21, 2025
Claude metadata view
This product is also listed on ChatGPT. You are currently viewing the Claude-specific listing metadata.
Dashboard
A cleaner Claude-specific view of the listing: what it promises, what it exposes, and whether the connector metadata is clear enough to trust.
Example prompts
1
Declared skills
3
Last seen
Apr 24, 2026
Connector summary
Capabilities
None declared
Description
This server provides tools to query the Tripadvisor hotels data, with functions to search for hotels in an area and to retrieve hotel details, photos, reviews, review ratings, availability, pricing, and nearby points of interest. It should be invoked for user queries involving hotel research, comparison, rating checks, or gathering contextual data about a hotel's surroundings (e.g., attractions, amenities). The tools operate on specific Tripadvisor location or hotel IDs; follow-up requests should re-use these identifiers to refine results accurately. The model must handle edge cases like ambiguous location names (e.g., "Springfield") by seeking clarification before executing a search. This tool's primary function is to ground accommodation planning in factual, real-time data along with opinions from other travelers.
What to tighten
Broaden keyword coverage. The app is not ranking for enough tracked intents yet.
Expose more task-specific tools. Apps with richer tool menus tend to signal stronger utility.
Add more prompt-led screenshots or examples so the value proposition is legible at a glance.
Actions
The highest-leverage fixes based on the current metadata snapshot.
Recommendation 1
Broaden keyword coverage. The app is not ranking for enough tracked intents yet.
Recommendation 2
Expose more task-specific tools. Apps with richer tool menus tend to signal stronger utility.
Recommendation 3
Add more prompt-led screenshots or examples so the value proposition is legible at a glance.