Connect Harvest to Cursor
Send Harvest invoices, tasks, companies and 19 more data types to Cursor on a schedule. Filter by date and narrow it down by project status. Refresh as often as every 15 minutes.
Who logged the most hours in Harvest last week, and on which projects?
How to connect Harvest and Cursor
6 steps. You can preview the Harvest data in Coupler.io before anything reaches Cursor.
Step 1 of 6
Connect Harvest
Sign in to Harvest and authorize Coupler.io. There's no API key to copy.
Step 2 of 6
Choose what to export
Pick the Harvest data you want in Cursor.
Show 14 more data types Show fewer data types
Step 3 of 6
Fine-tune the export
Optional settings for this Harvest export.
Show 14 more data types Show fewer data types
Show 1 more field Show fewer fields
Step 4 of 6
Narrow it down
Filter Harvest records before they reach Cursor.
Step 5 of 6
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 Harvest data in the AI pane.
Step 6 of 6
Set a schedule
Cursor sees the data as of the last run. Run it as often as every 15 minutes.
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Build your Harvest integrations with these destinations
Get the most of Harvest to Cursor integration
Gather data
Understand data
Automate data
Act on data
22 data types, including Invoices, Tasks, Company, Projects and Users.
You sign in to Harvest and authorize Coupler.io. There's no API key to copy.
Yes. Filter by changed date to load the period you need.
Yes. Available filters include project status. You can also add your own filter conditions.
No. The data stays in Coupler.io, and Cursor queries it read-only when you ask a question. It can't edit or delete Harvest 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 Jira, and join or append them before the data reaches Cursor.