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CLI · Enterprise · REST workaround

Connect TrendTrack
to Gemini.

The Gemini consumer app does not expose a UI to add custom MCP connectors. Native MCP is available through Gemini CLI, Vertex AI / AI Studio SDK, and Gemini Enterprise.

Gemini CLIGemini Enterprise
Route A · Builders (REST, not MCP)

REST in, Gemini out.

Use the TrendTrack REST API from your code and pipe the JSON back into your prompts.

  1. 01Generate a TrendTrack API key

    From your TrendTrack account, Settings, then API. Scope it to the workspace you want.

  2. 02Call REST from your Gemini-powered app

    From Python or JS using the Gemini SDK, call TrendTrack REST endpoints and feed the response back into your prompt as context.

Route B · Gemini CLI

One JSON entry, native MCP.

Gemini CLI reads MCP servers from settings JSON. Drop a TrendTrack entry under mcpServers and restart.

  1. 01Open ~/.gemini/settings.json

    Edit your global file, or a project-scoped .gemini/settings.json.

  2. 02Add TrendTrack under mcpServers

    Replace <TRENDTRACK_API_KEY> with the key you generated.

    {
  "mcpServers": {
    "trendtrack": {
      "httpUrl": "https://api.trendtrack.io/v1/mcp",
      "headers": {
        "Authorization": "Bearer <TRENDTRACK_API_KEY>"
      }
    }
  }
}

  3. 03Restart Gemini CLI

    TrendTrack tools become available to the model.

Route C · Gemini Enterprise

Wire it through Google Cloud.

For teams already running Gemini Enterprise on Google Cloud. Admin-level project access required.

  1. 01Open Google Cloud console, then Gemini Enterprise

    Navigate to Data stores, then create a Custom MCP server data store.

  2. 02Set transport and URL

    Transport: Streamable HTTP. URL: paste the TrendTrack MCP endpoint below.

    ›https://api.trendtrack.io/v1/mcp

  3. 03Attach to your Gemini Enterprise app

    Wire the data store to the Gemini Enterprise app your team uses.