Connect OPUSWatch to Custom MCP
Send OPUSWatch tasks, users, clients and 11 more data types to Custom MCP on a schedule. Filter by date. Refresh as often as every 15 minutes.
Who logged the most hours in OPUSWatch last week, and on which projects?
How to connect OPUSWatch and Custom MCP
4 steps. You can preview the OPUSWatch data in Coupler.io before anything reaches Custom MCP.
Step 1 of 4
Connect OPUSWatch
Enter your OPUSWatch API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the OPUSWatch data you want in Custom MCP.
Show 6 more data types Show fewer data types
Step 3 of 4
Connect Custom MCP
Click Generate token, then add the token and the Coupler.io MCP server URL to your MCP client's JSON config.
Step 4 of 4
Set a schedule
Custom MCP sees the data as of the last run. Run it as often as every 15 minutes.
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Build your OPUSWatch integrations with these destinations
Get the most of OPUSWatch to Custom MCP integration
Gather data
Understand data
Automate data
Act on data
14 data types, including Tasks, Users, Clients, Locations and Rows.
With your OPUSWatch API key, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Any MCP-compatible client. Connect it with the Coupler.io server URL and token, and it can query the OPUSWatch data assigned to it.
No. The data stays in Coupler.io, and the client queries it read-only. It can't edit or delete OPUSWatch rows.
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 Custom MCP.