iflow-mcp_tripadvisor_mcp

# Tripadvisor MCP Server A [Model Context Protocol][mcp] (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. [mcp]: https://modelcontextprotocol.io ## Features - [x] Search for locations (hotels, restaurants, attractions) on Tripadvisor - [x] Get detailed information about specific locations - [x] Retrieve reviews and photos for locations - [x] Search for nearby locations based on coordinates - [x] API Key authentication - [x] Docker containerization support - [x] 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 1. Get your Tripadvisor Content API key from the [Tripadvisor Developer Portal](https://developer.tripadvisor.com/). 2. 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 ``` 3. 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 r…