Connect Castor EDC to Cursor
Send Castor EDC users, studies, audit trials and 13 more data types to Cursor on a schedule. Filter by date. Refresh as often as every 15 minutes.
Cursor
What changed in our Castor EDC data this week?
Querying the Castor EDC data set in Coupler.io
How to connect Castor EDC and Cursor
4 steps. You can preview the Castor EDC data in Coupler.io before anything reaches Cursor.
Step 1 of 4
Connect Castor EDC
Enter your Castor EDC client ID and client secret. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Castor EDC data you want in Cursor.
Show 8 more data types Show fewer data types
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 Castor EDC 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 Castor EDC integrations with these destinations
Get the most of Castor EDC to Cursor integration
Gather data
Understand data
Automate data
Act on data
16 data types, including Users, Studies, Audit trials, Countries and Study surveys.
With your Castor EDC client ID and client secret, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
No. The data stays in Coupler.io, and Cursor queries it read-only when you ask a question. It can't edit or delete Castor EDC 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 100ms or Amazon Seller Central, and join or append them before the data reaches Cursor.
