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.

October 19, 2026
MCP ServerTravel & TransportationTripadvisor MCP Server
GitHub stars

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

πŸ“

Location Search

Search for accommodations, restaurants, attractions, and neighborhoods worldwide

πŸ“Έ

Photos & Media

View traveler photos, property images, and visual content for any destination

πŸ†

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

ToolPurpose
search_locationsSearch for locations by query text, category, and other filters
search_nearby_locationsFind locations near specific coordinates
get_location_detailsGet detailed information about a location
get_location_reviewsRetrieve reviews for a location
get_location_photosGet photos for a location

Detailed Usage

search_locationsβ–Ά

Searches Tripadvisor locations by query text, category, and other filters.

search_nearby_locationsβ–Ά

Finds locations near specific coordinates.

get_location_detailsβ–Ά

Returns detailed information about a location.

get_location_reviewsβ–Ά

Retrieves reviews for a location.

get_location_photosβ–Ά

Returns photos for a location.

Installation

The README installs from source and does not document an npm package. Clone the repository and run it with uv:

git clone https://github.com/pab1it0/tripadvisor-mcp.git
cd tripadvisor-mcp
{
  "mcpServers": {
    "tripadvisor": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/tripadvisor-mcp",
        "run",
        "src/tripadvisor_mcp/main.py"
      ],
      "env": {
        "TRIPADVISOR_API_KEY": "your_api_key_here"
      }
    }
  }
}

To run it in Docker, build the image from the repository first, then run the container:

docker build -t tripadvisor-mcp-server .
docker run -it --rm -e TRIPADVISOR_API_KEY=your_api_key_here tripadvisor-mcp-server

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