MCPs
Tripadvisor MCP Server

Tripadvisor MCP Server

Standardized MCP access to Tripadvisor travel data for AI assistants

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Tripadvisor MCP Server provides Model Context Protocol (MCP) compliant access to Tripadvisor's Content API, enabling AI assistants to search, retrieve, and present travel-related information in a standardized way. It features endpoints for searching locations, accessing detailed information, reviews, and photos, as well as secure API key authentication. The project supports Docker containerization and interactive tools for customizable AI integration.

Key Features

Tripadvisor location (hotel, restaurant, attraction) search

Detailed retrieval of location information

Access to location reviews and photos

Nearby location search by coordinates

API key authentication support

Configurable set of interactive AI tools

Docker support for easy deployment

Integration with AI assistant clients (e.g., Claude Desktop)

Project organized for maintainability (src structure)

uv-based dependency management

Use Cases

Powering AI travel assistants with real, up-to-date Tripadvisor data

Enabling chatbots to suggest hotels, restaurants, and attractions

Giving AI the ability to fetch and summarize user reviews for locations

Providing destination research tools within AI-driven applications

Integrating travel recommendations into virtual agent platforms

Building location-based search and recommendation systems

Deploying standardized travel information APIs for custom workflows

Showcasing real-world travel experiences through AI interfaces

Allowing AI to perform proximity-based searches for travel planning

Rapidly spinning up isolated review/location search services via Docker

README

Tripadvisor MCP Server

A Model Context Protocol (MCP) server for Tripadvisor Content API.

This provides access to Tripadvisor location data, reviews, and photos through standardized MCP interfaces, allowing AI assistants to search for travel destinations and experiences.

Features

Search for locations (hotels, restaurants, attractions) on Tripadvisor
Get detailed information about specific locations
Retrieve reviews and photos for locations
Search for nearby locations based on coordinates
API Key authentication
Docker containerization support
Provide interactive tools for AI assistants

The list of tools is configurable, so you can choose which tools you want to make available to the MCP client.

Usage

Get your Tripadvisor Content API key from the Tripadvisor Developer Portal.
Configure the environment variables for your Tripadvisor Content API, either through a .env file or system environment variables:

env

# Required: Tripadvisor Content API configuration
TRIPADVISOR_API_KEY=your_api_key_here

Add the server configuration to your client configuration file. For example, for Claude Desktop:

json

{
  "mcpServers": {
    "tripadvisor": {
      "command": "uv",
      "args": [
        "--directory",
        "<full path to tripadvisor-mcp directory>",
        "run",
        "src/tripadvisor_mcp/main.py"
      ],
      "env": {
        "TRIPADVISOR_API_KEY": "your_api_key_here"
      }
    }
  }
}

Note: if you see Error: spawn uv ENOENT in Claude Desktop, you may need to specify the full path to uv or set the environment variable NO_UV=1 in the configuration.

Docker Usage

This project includes Docker support for easy deployment and isolation.

Building the Docker Image

Build the Docker image using:

bash

docker build -t tripadvisor-mcp-server .

Running with Docker

You can run the server using Docker in several ways:

Using docker run directly:

bash

docker run -it --rm \
  -e TRIPADVISOR_API_KEY=your_api_key_here \
  tripadvisor-mcp-server

Using docker-compose:

Create a .env file with your Tripadvisor API key and then run:

bash

docker-compose up

Running with Docker in Claude Desktop

To use the containerized server with Claude Desktop, update the configuration to use Docker with the environment variables:

json

{
  "mcpServers": {
    "tripadvisor": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e", "TRIPADVISOR_API_KEY",
        "tripadvisor-mcp-server"
      ],
      "env": {
        "TRIPADVISOR_API_KEY": "your_api_key_here"
      }
    }
  }
}

This configuration passes the environment variables from Claude Desktop to the Docker container by using the -e flag with just the variable name, and providing the actual values in the env object.

Development

Contributions are welcome! Please open an issue or submit a pull request if you have any suggestions or improvements.

This project uses uv to manage dependencies. Install uv following the instructions for your platform:

bash

curl -LsSf https://astral.sh/uv/install.sh | sh

You can then create a virtual environment and install the dependencies with:

bash

uv venv
source .venv/bin/activate  # On Unix/macOS
.venv\Scripts\activate     # On Windows
uv pip install -e .

Project Structure

The project has been organized with a src directory structure:

tripadvisor-mcp/
├── src/
│   └── tripadvisor_mcp/
│       ├── __init__.py      # Package initialization
│       ├── server.py        # MCP server implementation
│       ├── main.py          # Main application logic
├── Dockerfile               # Docker configuration
├── docker-compose.yml       # Docker Compose configuration
├── .dockerignore            # Docker ignore file
├── pyproject.toml           # Project configuration
└── README.md                # This file

Testing

The project includes a test suite that ensures functionality and helps prevent regressions.

Run the tests with pytest:

bash

# Install development dependencies
uv pip install -e ".[dev]"

# Run the tests
pytest

# Run with coverage report
pytest --cov=src --cov-report=term-missing

Tools

Tool	Category	Description
`search_locations`	Search	Search for locations by query text, category, and other filters
`search_nearby_locations`	Search	Find locations near specific coordinates
`get_location_details`	Retrieval	Get detailed information about a location
`get_location_reviews`	Retrieval	Retrieve reviews for a location
`get_location_photos`	Retrieval	Get photos for a location

License

MIT

Star History

Repository Owner

pab1it0

User

Repository Details

Language Python

Default Branch main

Size 35 KB

Contributors 1

License MIT License

MCP Verified Nov 12, 2025

Programming Languages

Python

84.01%

Dockerfile

15.99%

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Tripadvisor MCP Server

Key Features

Use Cases

README

Tripadvisor MCP Server

Features

Usage

Docker Usage

Building the Docker Image

Running with Docker

Using docker run directly:

Using docker-compose:

Running with Docker in Claude Desktop

Development

Project Structure

Testing

Tools

License

Star History

Repository Owner

Repository Details

Programming Languages

Tags

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