# TripAdvisor MCP > TripAdvisor MCP connects your AI client directly to the world's largest travel database. Search for hotels, restaurants, and attractions by name or location, and instantly pull real-time user reviews, ratings, and professional photos. It gives you comprehensive insight into any destination using millions of user reports. ## Overview - **Category:** industry-titans - **Price:** Free - **Tags:** poi-discovery, reviews, ratings, location-data, hospitality ## Description Need to plan a trip but don't want to click through endless tabs? This MCP lets your agent tap into TripAdvisor’s massive content library. You can start by searching for specific points of interest—whether it's a hidden restaurant or a major landmark—and immediately get core details on that location. From there, you can ask the agent to pull in recent user reviews and ratings, letting you gauge the current vibe before booking anything. It also finds things nearby based on coordinates, so if your client is at a hotel, you don't have to manually search for lunch options. You get visual content—professional pictures *and* traveler photos—all pulled into one chat conversation. Connecting this MCP through Vinkius gives your agent access to robust travel intelligence without needing manual key management or API calls. ## Tools ### get_location_details Retrieves comprehensive information about a specific location using its unique ID. ### get_location_photos Pulls both professional and user-submitted photographs for a given landmark or hotel. ### get_location_reviews Fetches the latest collective feedback, including detailed ratings, left by other travelers. ### get_nearby_locations Searches and returns a list of points of interest around specific geographic coordinates. ### search_location Finds hotels, restaurants, or attractions by entering a name or full street address. ## Prompt Examples **Prompt:** ``` Search for top-rated attractions in Paris. ``` **Response:** ``` I've found several top attractions in Paris, including the Eiffel Tower (Location ID: 188757) and the Louvre Museum (Location ID: 188757). Would you like to see reviews for any of them? ``` **Prompt:** ``` Show me photos and details for location ID 188151. ``` **Response:** ``` Retrieving data for Location ID 188151... It's the Colosseum in Rome. It has a 4.5 rating with over 150k reviews. Here are some photos of the landmark. ``` ## Capabilities ### Discover locations Find any specific hotel, restaurant, or attraction by name or address. ### Check local recommendations Search for points of interest and services near a provided geographic coordinate. ### Analyze user sentiment Retrieve the most recent user reviews and detailed ratings for any location ID. ### Gather context details Get specific metadata, including price levels and award status, for a known location. ### Pull visual assets Retrieve high-quality professional photos alongside user-submitted pictures for a destination. ## Use Cases ### Designing an itinerary for a client A travel agent needs to plan a day in Rome. They ask their agent, 'What are the top three kid-friendly restaurants near the Pantheon?' The MCP uses `get_nearby_locations` and then calls `search_location` to find viable options, returning names and key details immediately. ### Vetting a potential business location A market researcher needs to know if a specific area is attractive for pop-ups. They input the coordinates into their agent; the MCP uses `get_nearby_locations` to pull surrounding POIs, allowing them to analyze commercial density and foot traffic potential. ### Checking competition in a neighborhood A small hotel owner wants to know what's going on across the street. They use `search_location` to find all competing establishments by name, then run `get_location_details` on each one to compare pricing and amenities. ### Creating a travel guide article A content creator needs visuals for an article about Parisian landmarks. They ask their agent for the Louvre ID; the MCP uses `get_location_photos` to pull professional images, which they can then embed directly into their draft. ## Benefits - You get instant user sentiment analysis. Instead of reading hundreds of scattered Yelp pages, you use `get_location_reviews` to pull the most recent feedback and detailed ratings for any place right away. - Stop manual searches. The MCP allows your agent to find local recommendations using coordinates with `get_nearby_locations`, ensuring you never miss a great restaurant or attraction close by. - You get full context on destinations. By running `get_location_details` and `get_location_photos`, your agent pulls metadata (like price level) alongside high-quality images, giving users a complete picture in one go. - Research specific areas efficiently. Use the search function to target any location by name or address with `search_location`, making it easy to map out an entire day's itinerary quickly. - Better planning means better service. By having access to this data, you can recommend places that are not only highly rated but also relevant to a user’s current location. ## How It Works The bottom line is you get comprehensive travel data and insights delivered directly into your chat interface via natural language prompts. 1. Subscribe to the MCP and provide your unique TripAdvisor API Key via the Vinkius platform. 2. Your AI agent reads this key and makes it available to any compatible client application (like Cursor or Claude). 3. You simply ask your agent a question—for example, 'What's good for dinner near 40.7128, -74.0060?'—and the MCP executes the necessary searches. ## Frequently Asked Questions **How do I find hotels near my current GPS coordinates using TripAdvisor MCP?** You use `get_nearby_locations` with your exact coordinates. This tells your agent to search for all available points of interest, including hotels and restaurants, in that immediate area. **Can I get professional photos using the TripAdvisor MCP?** Yes, you use `get_location_photos`. This tool pulls both high-quality professional shots and pictures submitted by actual travelers for a specific location ID. **What information does `search_location` provide?** `search_location` lets you find places by name or address, whether they are hotels, restaurants, or attractions. It gives you the necessary IDs to run more detailed lookups later. **Is getting location reviews reliable with TripAdvisor MCP?** The `get_location_reviews` tool pulls directly from TripAdvisor's massive database of user feedback and ratings, giving you a highly reliable sentiment snapshot for decision-making. **Do I need an API key to use the TripAdvisor MCP?** Yes. You must subscribe to this MCP through Vinkius and provide your specific TripAdvisor API Key so your agent can authenticate its requests.