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Connect HoorayHR to Gemini

Send HoorayHR users, sick leaves, time offs and 1 more data type to Gemini on a schedule. Refresh as often as every 15 minutes.

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Gemini

Who logged the most hours in HoorayHR last week, and on which projects?

Querying the HoorayHR data set in Coupler.io
Gemini queries your HoorayHR data through the Coupler.io MCP connector. Access is read-only.
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How to connect HoorayHR and Gemini

4 steps. You can preview the HoorayHR data in Coupler.io before anything reaches Gemini.

Step 1 of 4

Connect HoorayHR

Enter your HoorayHR username and password. You only do this once per account.

Username••••••••••••
Password••••••••••••

Step 2 of 4

Choose what to export

Pick the HoorayHR data you want in Gemini.

Step 3 of 4

Connect Gemini

Run the command from the destination step to add the Coupler.io MCP server to Gemini CLI, then authenticate with /mcp auth coupler.

Data set to shareUsersThe data view Gemini CLI can read
Commandgemini mcp add coupler --transport=http --scope=user https://mcp.coupler.io/mcp/xxxGenerated in the destination step, run in your terminal

Step 4 of 4

Set a schedule

Gemini sees the data as of the last run. Run it as often as every 15 minutes.

Get the most of HoorayHR to Gemini integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
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Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
HoorayHR to Gemini questions

4 data types, including Users, Sick leaves, Time offs and Leave types.

With your HoorayHR username and password, entered once when you add the connection.

No. The data stays in Coupler.io, and Gemini queries it read-only when you ask a question. It can't edit or delete HoorayHR rows.

Gemini CLI and Gemini Enterprise. In Gemini CLI, add the Coupler.io MCP server to its configuration and sign in there.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example Clockify or Harvest, and join or append them before the data reaches Gemini.

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