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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.

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Custom MCP

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

Querying the OPUSWatch data set in Coupler.io
Any MCP-compatible AI client queries your OPUSWatch data through the Coupler.io MCP server. Access is read-only.
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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.

API key••••••••••••

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
Start dateAny dateSpecify the date to start exporting data from OPUSWatch.

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.

Data set to shareTasksThe data view MCP clients can read
MCP server URLhttps://mcp.coupler.io/mcpProvided by Coupler.io in the destination step
Personal access token••••••••••••Sent as a Bearer token. Keep it private

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.

Get the most of OPUSWatch to Custom MCP 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.
Understand data icon

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.
Act on data icon

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.
OPUSWatch to Custom MCP questions

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.

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