tripadvisor-data-connector
Interface with the Tripadvisor Content API via standardized Model Context Protocol endpoints. Facilitates querying for global travel points of interest, user-generated critiques, and associated imagery.
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pab1it0
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Tripadvisor Content Service Bridge
This implementation serves as a Model Context Protocol (MCP) server bridge connecting to the Tripadvisor Content API ecosystem.
It exposes standardized MCP interfaces for accessing location details, user testimonials (reviews), and multimedia assets (photos) from Tripadvisor, enabling AI agents to perform sophisticated travel research and planning.
Core Capabilities
- [x] Geospatial querying for lodging, dining establishments, and tourist attractions.
- [x] Retrieval of granular specifics for designated points of interest.
- [x] Fetching user-submitted evaluations and visual media.
- [x] Proximity-based searches utilizing geographic coordinates.
- [x] Mandatory secure access via API key credentialing.
- [x] Operational readiness via Docker container encapsulation.
- [x] Provision of interactive functions tailored for autonomous agents.
The set of exposed functionalities is modular and customizable according to client requirements.
Deployment Instructions
-
Obtain your requisite Tripadvisor Content API credential from the Tripadvisor Developer Portal.
-
Establish environment variables pointing to your API key, either via a
.envfile or directly in your system's environment configuration:
# Essential: Tripadvisor API Parameterization
TRIPADVISOR_API_KEY=your_secret_key_here
- Integrate the server runtime specification into your consumption client configuration. Example for a system like Claude Desktop:
{
"mcpServers": {
"tripadvisor": {
"command": "uv",
"args": [
"--directory",
"<full path to tripadvisor-mcp directory>",
"run",
"src/tripadvisor_mcp/main.py"
],
"env": {
"TRIPADVISOR_API_KEY": "your_secret_key_here"
}
}
}
}
Troubleshooting Note: If an
Error: spawn uv ENOENTmanifests in Claude Desktop, ensure the absolute path to theuvexecutable is provided, or setNO_UV=1in the configuration object.
Containerization Guide
This repository supplies Dockerfiles for streamlined deployment and operational segregation.
Creating the Image
Execute the following command to build the service image:
docker build -t tripadvisor-mcp-server .
Executing via Docker
Run the service container using docker run:
docker run -it --rm \
-e TRIPADVISOR_API_KEY=your_secret_key_here \
tripadvisor-mcp-server
Alternatively, using docker-compose after populating your .env file:
docker-compose up
Docker Integration in Claude Desktop
To utilize the containerized version within Claude Desktop, update the configuration to invoke Docker, mapping the necessary environment variables:
{
"mcpServers": {
"tripadvisor": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "TRIPADVISOR_API_KEY",
"tripadvisor-mcp-server"
],
"env": {
"TRIPADVISOR_API_KEY": "your_secret_key_here"
}
}
}
}
This pattern injects credentials into the container via the -e flag while referencing the value from the client's env section.
Development & Contribution
We welcome external contributions! Please file an issue or submit a pull request for any proposed enhancements.
Dependency management is handled by uv. Installation instructions for uv are available on their platform:
curl -LsSf https://astral.sh/uv/install.sh | sh
Set up the isolated environment and install dependencies:
uv venv
source .venv/bin/activate # For Unix-like systems
.venv\Scripts\activate # For Windows
uv pip install -e .
Directory Structure
The source code is organized under a dedicated src path:
tripadvisor-mcp/
├── src/
│ └── tripadvisor_mcp/
│ ├── __init__.py # Package initialization module
│ ├── server.py # Core MCP server logic
│ ├── main.py # Primary application entry point
├── Dockerfile # Docker image definition
├── docker-compose.yml # Multi-container orchestration file
├── .dockerignore # Files excluded during image build
├── pyproject.toml # Project dependency and metadata definitions
└── README.md # Documentation file (this document)
Quality Assurance
A comprehensive test suite is included to validate functionality and safeguard against feature regressions.
To execute tests, first install development dependencies:
# Install all dependencies, including those for testing
uv pip install -e ".[dev]"
# Execute standard tests
pytest
# Execute tests with detailed coverage reporting
pytest --cov=src --cov-report=term-missing
Tool Map
| Tool Identifier | Functional Group | Operational Description |
|---|---|---|
search_locations |
Search | Locates points of interest based on text queries, classification, and various constraints |
search_nearby_locations |
Search | Identifies points of interest proximate to specified coordinates |
get_location_details |
Retrieval | Fetches comprehensive attribute data for a singular location |
get_location_reviews |
Retrieval | Pulls aggregated textual feedback associated with a location |
get_location_photos |
Retrieval | Retrieves associated photographic assets for a specific location |
Licensing
Distributed under the MIT License.
WIKIPEDIA: XMLHttpRequest (XHR) is an API defined as a JavaScript object that facilitates the transmission of HTTP requests from a web browser to a remote server. Its methods enable browser-based applications to dispatch server queries post-page load and assimilate incoming data. XHR is fundamental to Ajax programming paradigms. Before its adoption, page navigation relied primarily on standard hyperlinks and form submissions, which often necessitated a full page refresh.
== Genesis ==
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This standardized identifier now functions as the established convention across all major browser engines, including Mozilla's Gecko (2002), Safari 1.2 (2004), and Opera 8.0 (2005).
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== Practical Implementation == Constructing and dispatching a server request using XMLHttpRequest generally involves these sequential programming actions:
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== Inter-Domain Communication ==
During the early phases of the World Wide Web's evolution, a mechanism allowing cross-origin data exchange was found to be restricted due to security constraints, leading to the development of workarounds before standardized solutions were implemented.
