Description

Klook helps you discover and book things to do wherever you are. Describe what you're looking for — your destination, dates, and interests — and get a list of relevant options with important details like price, reviews, and photos. When you're ready to book, tap "View on Klook" to open the full listing and complete your booking. From tours, experiences, attractions, and more, Klook brings together what you need in one place, making it easy to plan ahead or decide on the go.

About This App

Find discounted attraction tickets, tours with unique experiences, and more! Join local day tours to visit spectacular sights and go on delicious food trips around the city. Upon landing at the airport, we've got all kinds of transfers available for you. Discover and book amazing travel experiences with Klook!

Last updated: April 21, 2026

Website Preview

Screenshot of Klook website

App Screenshots

Capabilities

Works in Conversation

Publisher Intelligence

Insights and recommendations for app publishers. See how your app performs and how to improve discoverability.

Server Status openai-mcp-server v1.1.0

1
Tools
1
Resources
0
Prompts
https://mcp.klook.com/v2/aiappsbff/public/openai/apps-mcp-server

Last checked: 3d ago

Technical Details
Connection Latency 438ms
30-Day Uptime 100.0%

Tools(1)

Showing 1 of 1 tools

Sorted by toolName
ToolDescriptionFlagsTestLast Tested
TravelDiscover
Use this when the user wants to find, search, or get recommendations for travel activities, attractions, tours, experiences, events, or food for their trip. When the user's intent constraints match those from the previous conversation turn, maintain the same parsed field values to ensure consistency. Autoset guidance: - sub_categories: Default is "ttd". Prefer specific categories when they clearly apply. Multiple categories allowed. "attractions" — specific venues or tickets: museums, theme parks, zoos, landmarks, admission fees. "tour_experience" — guided or structured activities: SPA, guided tours, diving, hiking, outdoor activities, cooking experiences, tour groups, nature experiences. "food" — dining-related: restaurants, food tours, night market snacks, buffets, cafes. "events" — performances and shows: concerts, exhibitions, musicals, competitions. "ttd" — general/fallback ONLY: itinerary suggestions, shopping, seasonal activities. Rules: If "attractions", "tour_experience", or "food" applies, do NOT include "ttd". When query mentions multiple types (e.g., sights + food), include ALL matching categories. - user_intent_dest_detail examples: "Jing'an Temple" → "China,Shanghai,Shanghai,Jing'an Temple" "Tokyo Disneyland" → "Japan,Chiba,Urayasu,Tokyo Disneyland" - sort: Map user sorting intent to the appropriate value. Prioritize distance intent first. "nearby" / "closest" / "around here" / "near" / "surrounding" / "附近" / "周邊" → distance "cheap" / "affordable" / "budget" / "low price" → price_asc "luxury" / "high-end" / "expensive" → price_desc "best-selling" / "most booked" / "high sales volume" → participants (ONLY for explicit sales/booking volume) "highest rated" / "best reviews" / "top rated" → review_score No clear sorting preference → most_relevant Note: "Top" / "Must-see" / "Best" / "Popular spots" / "recommended" without explicit sales context → most_relevant (NOT participants). - radius_meter: When user mentions "near" / "nearby" / "around" / "附近" / "周邊" a specific place without an explicit distance, set radius_meter to 10000. - product_tags: Exclude geographic locations. Keep compound concepts intact (e.g., "glamping", "beach yoga"). Activity types: dining, water parks, aquariums, themepark, museums & galleries, walking tour, boat cruise tour, one day tour, multiday tour, spa & massage, cooking classes, zip-line, camping & glamping, water sport, nightlife & pub crawls, hot spring, ski tours, golf, photography, shopping, music, etc. Feature attributes: season (winter, cherry blossom), environment (indoor, outdoor), style (adventure, luxury, cultural), services (pick-up, includes lunch), qualifications (Michelin, World Heritage), policies (flexible cancellation). - budget_level_tag: "cheap" / "budget" / "affordable" / "economical" → budget "mid-range" / "moderate" / "standard" → mid-range "luxury" / "expensive" / "high-end" / "premium" / "VIP" → luxury When both price level and sorting are mentioned, set both fields. E.g., "cheap activities" → budget_level_tag=budget AND sort=price_asc. - duration_tag: "within 3 hours" / "1-2 hours" → nature_0to3_hours "half day" / "3-5 hours" → nature_3to5_hours "5-7 hours" / "most of the day" → nature_5to7_hours "full day" / "day trip" / "8+ hours" → nature_full_day "multi-day" / "2 days or more" / "overnight" → nature_multi_day - service_filters_tags: "solo booking" / "1 person" → nature_1person_group "small group" → nature_small_group "free cancellation" / "flexible cancellation" → nature_easy_refund "Klook recommended" → klook_choice "Klook exclusive" → deal_klook_exclusive - service_user_group_tags: References to "child", "kids", or "child-friendly" map to "parent-child". - accessibility_tags: "child-friendly" or "family-friendly" belongs to service_user_group_tags unless accessibility facilities are explicitly mentioned. TEMPORAL RULES: - If current date is before requested month in current year → use current year. - If current date is in/after requested month → use next year. - "next [weekday]": Find the next occurrence of that weekday, then add 7 days. E.g., today = Tue Feb 3 → "next Saturday" = Feb 14 (NOT Feb 7). - "this [weekday]": The upcoming occurrence within the current week. E.g., today = Tue Feb 3 → "this Saturday" = Feb 7. - "today" → current date, "tomorrow" → +1 day, "this weekend" → upcoming Sat-Sun, "next weekend" → Sat-Sun + 7 days. - When ambiguous, default to nearest future date.
100%Latency 527ms
Apr 4, 2026

Discoverability Score

62

Fair

62 of 100 — how easily AI agents find your app

  • Description quality
    20/20
  • Example prompts
    0/20
  • Keyword coverage
    0/15
  • Tool metadata
    16/20
  • Visual assets
    13/20
  • Endpoint health
    10/10
  • Data freshness
    15/15

How to Improve

Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.

Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.

Add at least 2 screenshots that show real workflows to increase confidence and conversion.

Read the full discoverability guide →

Technical Details

Status
ENABLED
Type
AI-Powered App
Auth
Open Access
Listed on
ChatGPT
Added
January 12, 2026
Last synced
3d ago
Last checked
3d ago
Version
1.1.0
Distribution
Ecosystem Directory

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