← Rize + ClickUp integration

Scheduled routine

ClickUp Time Tracking: Review Client Work with Rize

Read ClickUp context alongside recorded client work in Rize.

A client work-in-progress brief with task context and tracked time.

How to set it up

1

In Rize, open Settings → Integrations and select the MCP filter. Find ClickUp, connect with your own account and approve access. Available tools depend on your account and connector permissions.

2

Open Routines, create a routine, and select ClickUp as a connector. Paste the example prompt below and specify the clients, projects and date range you want reviewed.

3

Choose a daily or weekly schedule and your preferred run time. Save and enable the routine. You can also run it manually to check the first result.

4

Review the finished brief in Rize. Check source matches and missing context before making changes. These example prompts request read-only reviews, not unattended writes.

What should your routine ask?

This prompt requests a read-only review. Replace the date range and project scope before you save it.

Read available open and recently completed task context through the ClickUp connector. Compare it with list_clients, list_projects and list_my_time_entries in Rize for this month. Recap work in progress and flag mismatches or missing project links. Do not change tasks or time entries.

Connector tools are discovered when the routine runs. Access depends on your connected account. Routines use AI credits.

Frequently Asked Questions

Open Settings → Integrations, select the MCP filter, and connect ClickUp. Then select it in your routine. The routine can use only the connected tools your account permits.

No. This example prompt asks for a review brief without record changes. Routines can run write tools where supported, so review any prompt changes before enabling a schedule.

Check the connection and account permissions, then narrow the prompt to information the connector exposes. Missing context should be flagged in the brief, not filled in with guesses. Scheduled runs use AI credits.

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