Gemini Enterprise

Gemini Enterprise is Google Cloud's enterprise AI platform for building agents and analyzing business data through natural language. By connecting Coupler.io to Gemini Enterprise as a custom MCP server, you can pull in data from any source and ask questions, spot trends, and generate insights — no SQL or code required.

Why use Gemini Enterprise as a destination?

• Enterprise-grade analysis — query your business data conversationally inside Google Cloud's governed Gemini Enterprise environment
• Any source, one data store — connect Google Ads, TikTok Ads, Google Drive, or any other Coupler.io source, and analyze it all in one place
• Secure OAuth connection — Coupler.io issues a dedicated OAuth app so Gemini Enterprise authenticates against the MCP server without sharing database passwords
• Always fresh data — schedule your data flow to refresh automatically so Gemini Enterprise always has up-to-date data to work with

Prerequisites

• A Google Cloud account with access to Gemini Enterprise
• Account admin or owner access in Coupler.io to create the OAuth credentials

Quick start

Create the OAuth credentials in Coupler.io first, then set up the custom MCP data store in Google Cloud. Having the credentials ready means you can complete the GCP form in one pass.

How to connect

1

Add a source to your data flow. In Coupler.io, create a new data flow and add at least one source — for example, Google Ads, TikTok Ads, or any other supported integration.

2

Select Gemini Enterprise as the destination. In the destination step of your data flow, choose Gemini Enterprise from the list of available destinations.

3

Create OAuth credentials in Coupler.io. Coupler.io issues an OAuth app that Gemini Enterprise uses to authenticate against the MCP server. Copy the Client ID and Client Secret — the secret is shown only once, so save it now.

Only an account admin or owner can create these credentials. If you lose the secret, regenerate it to issue a new one.

4

Open the custom MCP data store flow in Google Cloud. In Gemini Enterprise, go to Data stores → Create data store and choose Custom MCP server. See Google's Set up a custom MCP server guide for the full walkthrough.

5

Paste the connection values into the GCP form. Coupler.io provides the MCP Server URL, Authorization URL, Token URL, and Scopes (mcp) in the destination step. Add them along with the Client ID and Client Secret from the previous step.

6

Run the data flow. Click Run to execute the data flow manually. Once it completes successfully, your data is available to Gemini Enterprise. Open Gemini Enterprise and start asking questions about your dataset.

Supported features

Feature	Supported
Replace mode	Yes
Append mode	No
Automatic scheduling	Yes
Type enforcement	No
Templates	No