Connect HoorayHR to Cursor
Send HoorayHR users, sick leaves, time offs and 1 more data type to Cursor on a schedule. Refresh as often as every 15 minutes.
Cursor
Who logged the most hours in HoorayHR last week, and on which projects?
Querying the HoorayHR data set in Coupler.io
How to connect HoorayHR and Cursor
4 steps. You can preview the HoorayHR data in Coupler.io before anything reaches Cursor.
Step 1 of 4
Connect HoorayHR
Enter your HoorayHR username and password. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the HoorayHR data you want in Cursor.
Step 3 of 4
Connect Cursor
Add the Coupler.io MCP connector to Cursor from the MCP directory and sign in with your Coupler.io account. After the first run, ask about your HoorayHR data in the AI pane.
Step 4 of 4
Set a schedule
Cursor sees the data as of the last run. Run it as often as every 15 minutes.
Coupler.io made it easy to create dashboards and reports from different data sources. The sync is reliable and the user experience is amazing.
Take your data analytics to the next level
Sign Up with Google
Sign Up with MICROSOFT
SIGN UP WITH EMAIL
By signing up to Coupler.io, you agree to our Privacy Policy and Terms of Use.
Build your HoorayHR integrations with these destinations
Get the most of HoorayHR to Cursor integration
Gather data
Understand data
Automate data
Act on data
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 Cursor queries it read-only when you ask a question. It can't edit or delete HoorayHR rows.
Add Coupler.io from Cursor's MCP directory and sign in when it asks for authentication. There's no token to paste.
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 Cursor.
