Tripadvisor MCP Server
Tripadvisor MCP server provides AI assistants with access to millions of travel reviews, ratings, photos, and location data from the world's largest travel guidance platform.
Overview
The Tripadvisor MCP Server brings the world's largest travel guidance platform to AI assistants. With over 1 billion reviews and opinions covering 8 million accommodations, restaurants, and attractions, Tripadvisor is the go-to source for travel research. This server enables AI models to search locations, access reviews, view photos, and provide data-driven travel recommendations.
Community MCP Server:
Integrates with the Tripadvisor API for location and review data
Key Features
Reviews & Ratings
Access millions of authentic traveler reviews and ratings for any location
Location Search
Search for accommodations, restaurants, attractions, and neighborhoods worldwide
Photos & Media
View traveler photos, property images, and visual content for any destination
Rankings & Awards
Access Travelers' Choice awards, top rankings, and curated lists for destinations
Restaurant Discovery
Find restaurants by cuisine type, price range, rating, and proximity
Attractions & Things to Do
Discover attractions, tours, activities, and must-see experiences at any destination
Available Tools
Quick Reference
| Tool | Purpose |
|---|---|
search_location | Search for a location across Tripadvisor's database |
get_reviews | Get reviews for a specific location or business |
get_location_details | Get detailed information about a location |
get_photos | Access photos and media for a location |
search_restaurants | Find restaurants by cuisine, price, and rating |
get_nearby_attractions | Discover nearby attractions and points of interest |
Detailed Usage
search_location▶
Search for any location in Tripadvisor's database including hotels, restaurants, and attractions.
{
"query": "Eiffel Tower",
"category": "attractions"
}
get_reviews▶
Get reviews for any location with rating distribution and traveler insights.
{
"location_id": "12345",
"limit": 20,
"sort": "rating_desc"
}
search_restaurants▶
Find restaurants by criteria including cuisine, price range, and ratings.
{
"location": "Tokyo, Japan",
"cuisine": "Sushi",
"max_price": "$$$$"
}
get_nearby_attractions▶
Discover attractions and points of interest near a specific location.
{
"latitude": 48.8584,
"longitude": 2.2945,
"radius_km": 2
}
Installation
{
"mcpServers": {
"tripadvisor": {
"command": "npx",
"args": ["-y", "tripadvisor-mcp"],
"env": {
"TRIPADVISOR_API_KEY": "your_api_key"
}
}
}
}
API Key Required:
Apply for a Tripadvisor developer account and API key at developer-tripadvisor.com
Use Cases
Travel Research
Ask AI to research a destination and provide a summary of top hotels, restaurants, and attractions.
Restaurant Selection
Find the best restaurants near your location based on cuisine preference and budget.
Sentiment Analysis
Analyze review sentiment to understand what guests love or complain about at a property.
Itinerary Building
Build a complete day-by-day itinerary with top-rated activities and dining options.
Sources
Related Articles
Jina AI MCP Server
Jina AI MCP server provides AI-powered web search and retrieval, enabling reading page content, extracting structured data, and grounding AI responses with real-time information.
Vectara MCP Server
Vectara MCP servers enable AI models to interact with Vectara's RAG platform, providing capabilities for fast and reliable Retrieval-Augmented Generation, semantic search, and hallucination correction.
Communication & Email MCP Servers: Messaging & Collaboration
Explore MCP servers for communication and email, providing standardized interfaces for AI models to interact with messaging platforms, email services, and team collaboration tools.