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How to Use the TripAdvisor MCP in VS Code Copilot

Get team access to TripAdvisor data via VS Code Copilot for consistent coding across projects.

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VS Code Copilot

Connect TripAdvisor MCP to VS Code Copilot

Create your Vinkius account to connect TripAdvisor to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Team search capabilities with MCP Server

Your whole team can use `search_location` by committing the configuration file, `.vscode/mcp.json`. This tool lets developers find hotels, restaurants, and attractions using names or addresses. Because it's committed to the repo, everyone gets immediate access without individual setup. It keeps your project tooling consistent.

Getting location details via VS Code Copilot

Use `get_location_details` when a developer needs all the specs on a specific POI. This tool returns necessary data like operating hours and service listings. This means your team doesn't have to switch context or look up documentation; they just ask Copilot Chat, and it uses the live API.

Handling user feedback with MCP Server

`get_location_reviews` retrieves recent user comments and ratings for any location ID. This is essential data when building reporting tools. Team members can quickly incorporate real-world sentiment into their code logic using this tool.

Setup guide

Set up TripAdvisor MCP in VS Code Copilot

Prerequisites

  • VS Code 1.99 or later with GitHub Copilot extension
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.

  2. 2

    Add the TripAdvisor MCP

    Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Switch to Agent mode

    Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.

  4. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the TripAdvisor tools listed. Try asking: "List my recent TripAdvisor transactions" and Copilot will invoke them automatically.

.vscode/mcp.json
{
  "mcpServers": {
    "tripadvisor-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TripAdvisor. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about TripAdvisor MCP in VS Code Copilot

You create or update the `.vscode/mcp.json` file in your project root. Committing this file shares the server configuration across your entire engineering team.
It provides POI records, user photos, detailed location specifications, and structured review data. The tool set covers everything from searching to deep analysis.
Yes, the `get_nearby_locations` tool lets your team search for points near a specific coordinate pair. This is great for mapping or routing features in your application.
It does. Calling `get_location_photos` grabs both professional listing pictures and user-uploaded media, ensuring your team has rich visual context for their code.
The server touches public POI records, location names, review text, and star ratings. Because the configuration is committed to the repo, all team members adhere to the same access standards.

Start using the TripAdvisor MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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We've already built the connector for TripAdvisor. Just plug in your AI agents and start using Vinkius.

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