What are the requirements to run this server?
You need Python with `uv` installed, or Docker. An active Tripadvisor Content API key is required.
@pab1it0
Basic information
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.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"tripadvisor-mcp": {
"command": "docker",
"args": [
"build",
"-t",
"tripadvisor-mcp-server",
"."
]
}
}
}Search
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Retrieval
A Model Context Protocol (MCP) server for the Tripadvisor Content API. It provides standardized access to Tripadvisor location data, reviews, and photos, enabling AI assistants to search for travel destinations and experiences.
Obtain a Tripadvisor Content API key from the Tripadvisor Developer Portal. Set the TRIPADVISOR_API_KEY environment variable in a .env file or system config. Add the server configuration to your MCP client (e.g., Claude Desktop) using the uv command pointing to the tripadvisor-mcp directory, or run via Docker. You can also configure which tools to make available.
You need Python with `uv` installed, or Docker. An active Tripadvisor Content API key is required.
Sign up on the [Tripadvisor Developer Portal](https://developer.tripadvisor.com/) and follow their API key generation process.
Five tools: `search_locations`, `search_nearby_locations`, `get_location_details`, `get_location_reviews`, and `get_location_photos`.
Yes, the list of tools is configurable so you can choose which ones to expose to the MCP client.
Build the image with `docker build -t tripadvisor-mcp-server .` and run with `docker run -it --rm -e TRIPADVISOR_API_KEY=your_key tripadvisor-mcp-server`. For Claude Desktop, configure it to use Docker and pass the environment variable.

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