Description

Discover and book unforgettable things to do with the Viator app. Search Viator's catalog of tours, attractions, and experiences using natural language. Just tell us where you're going and what you're interested in, and we will help you explore relevant options quickly and clearly. You can narrow results by destination, dates, price range, and categories, making it easy to move from a broad idea ("things to do in Paris") to options that fit your plans and budget. Each result focuses on practical details, so you can compare experiences without jumping between pages or tabs.

About This App

Find and book city tours, helicopter tours, day trips, show tickets, sightseeing day tours, popular activities and things to do in hundreds of destinations worldwide

Last updated: May 13, 2026

Website Preview

Screenshot of Viator 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 experiences-mcp v1.0.0

2
Tools
1
Resources
0
Prompts
https://exp-app-mcp.prod.ep.viator.com/mcp

Last checked: 6h ago

Server Instructions

This server provides access to experiences related information and services.

Technical Details
Connection Latency 144ms
30-Day Uptime 100.0%

Tools(2)

Showing 2 of 2 tools

Sorted by toolName
ToolDescriptionFlagsTestLast Tested
get_experience_details
Retrieves enriched information for a specific Viator experience, including detailed descriptions, highlights, imagery, pricing, and the click-out URL.The model should call this tool only when the user clearly refers to a specific experience—either by selecting it in the UI or by asking follow-up questions such as “Tell me more about…”;if multiple experiences were shown, the model must resolve ambiguity by asking which one the user means. This tool is intended for deepening experience understanding rather than search, and should only be invoked with a code previously returned by search_experiences.
read-only
100%Latency 826ms
Mar 22, 2026
search_experiences
Retrieves a curated list of Viator experiences based on a free-text search of what the user wants (destination, activity type, and preferences), plus trip dates and optional refiners (budget, duration, etc.). The model must supply searchTerm as natural language describing where and what the user is looking for (e.g. "walking tours in Paris, France", "kid friendly food experiences in Rome"). Dates, prices, duration limits, and currency belong in their dedicated parameters—not inside searchTerm. Prefer searchTerm as natural language for the partner free-text search. If searchTerm is omitted or blank, the query is built by concatenating deprecated location and category as-is (natural language) plus feature tokens with underscores replaced by spaces and lowercased—use that only for backward compatibility. The model must provide either searchTerm or enough deprecated fields to form a non-empty query, and when possible dates before calling this tool. The model may re-issue a refined searchExperiences call whenever the user adds, removes, or adjusts refinement criteria (e.g., kid-friendly, price range, shorter duration) to narrow or improve the results. If the tool returns zero results, the model must proactively guide the user toward a successful refinement. It should review the parameters used in the failed request and recommend the most appropriate based on the proposed logic:" If > 1 categories applied, suggest removing some categories. Eg: “It looks like those categories combined are too restrictive. Would you like to narrow it down?” If the query requests a specific feature (eg private tour), suggest removing this constraint. Eg: “Private tours may be limited in this area, would you like to consider group options too?” If duration (avg from/to) > XX, suggest trying a shorter duration. If duration (avg from/to) < XX, suggest trying a longer duration. If price constraint was applied, suggest widening (or removing) price limits. Else, suggest broaden location search. Eg: “Nothing matches in central Siena, should we try Tuscany or nearby towns?”
read-only
100%Latency 287ms
Mar 22, 2026

Discoverability Score

58

Fair

58 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
    11/15

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
December 18, 2025
Last synced
May 3, 2026
Last checked
6h ago
Version
1.0.0
Distribution
Ecosystem Directory

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