mcpField
T
TripAdvisor Vacation Planner MCP Server

TripAdvisor Vacation Planner MCP Server

Local
github.com/hhw67865AI & Agents2Updated 79w ago

About TripAdvisor Vacation Planner MCP Server

TripAdvisor Vacation Planner MCP Server provides TripAdvisor location data for vacation planning. It is for people exploring places to stay and visit, with search, details, nearby results, photos, reviews, and an interactive planning prompt.

Key features

  1. 01Search locations by name and category
  2. 02View detailed location information
  3. 03Find nearby attractions, restaurants, and hotels
  4. 04Access location photos and reviews
  5. 05Use an interactive vacation-planning prompt

Use cases

  1. 01Explore places by location name or category
  2. 02Compare nearby hotels, restaurants, and attractions
  3. 03Review photos and feedback while planning a trip

MCP support

The server exposes TripAdvisor location search, details, photos, reviews, and nearby search to MCP clients. Its setup also lists the Google Maps MCP Server as a prerequisite.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

TripAdvisor Vacation Planner MCP Server

This MCP server provides access to TripAdvisor data for planning vacations, finding attractions, restaurants, and hotels.

Features

  • Search for locations by name and category
  • Get detailed information about specific locations
  • Find nearby attractions, restaurants, and hotels
  • View photos and reviews
  • Interactive vacation planning prompt

Setup Instructions

Prerequisites
Installation with uv
  1. Clone this repository
  2. Create and activate a virtual environment:
    uv venv
    # On Windows
    .venv\Scripts\activate
    # On macOS/Linux
    source .venv/bin/activate
    
  3. Install the required dependencies:
    uv add "mcp[cli]"
    
Running the Server

You can run the server directly with:

# Set your API key as an environment variable
export TRIPADVISOR_API_KEY=your_api_key_here  # Linux/macOS
set TRIPADVISOR_API_KEY=your_api_key_here     # Windows Command Prompt
$env:TRIPADVISOR_API_KEY="your_api_key_here"  # Windows PowerShell

# Run the server
mcp run server.py
Setting up for Claude Desktop

Set up the MCP Server with:

mcp install server.py
Configuring Claude Desktop
  1. Open Claude Desktop
  2. Go to Settings > MCP Servers
  3. Add a new server with the following configuration:
    {
      "tripadvisor": {
        "command": "uv",
        "args": [
          "run",
          "--with",
          "mcp[cli]",
          "mcp",
          "run",
          "PATH_TO_YOUR_PROJECT\\server.py"
        ],
        "env": {
          "TRIPADVISOR_API_KEY": "YOUR_API_KEY_HERE"
        }
      }
    }
    
  4. Replace PATH_TO_YOUR_PROJECT with the absolute path to your project directory
  5. Replace YOUR_API_KEY_HERE with your actual TripAdvisor API key
Using the Vacation Planner
  1. Start a new conversation in Claude
  2. Just prompt anything with "Vacation Planner" prompt
  3. Follow the interactive prompts to plan your perfect vacation!

API Endpoints Used

  • Location Search: Find locations by name and category
  • Location Details: Get comprehensive information about a location
  • Location Photos: View photos of a location
  • Location Reviews: Read reviews of a location
  • Nearby Search: Find locations near a specific point

Troubleshooting

  • If you see 401 Unauthorized errors, check that your API key is correct and that your IP is whitelisted in the TripAdvisor Developer Portal
  • For issues with Claude Desktop integration, verify your configuration settings and ensure the path to server.py is correct
  • If Claude is failing to complete, then there is a high chance that you are using too many input tokens. get_location_details_tool is usually the culprit.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.