ClickUp to MotherDuck integration
Connect ClickUp to MotherDuck and automatically sync your project management data. Weld extracts data from ClickUp, loads it into MotherDuck, and lets you transform the data using SQL or dbt, no custom scripts required.
- task53 cols
- time30 cols
- comment27 cols
- list27 cols
- folder12 cols
- user11 cols
- Extract
- Load
- Keep in sync
- clickup.taskSynced
- clickup.timeSyncing
- clickup.commentSynced
- clickup.listSynced
- clickup.folderSynced
- clickup.userSynced
- ClickUp tables
- 14
- fields, typed
- 217
- relationships kept
- 8
- agent context included
- MCP
Trusted by data and AI teams
How to set up ClickUp to MotherDuck in Weld.
In the app, with the API or an agent.
Why sync ClickUp to MotherDuck?
Ready for analysis.
Centralizing your ClickUp data in MotherDuck lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying ClickUp data directly in MotherDuck using SQL or your preferred BI tool.
Centralized data warehouse
Bring ClickUp data into MotherDuck alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from ClickUp to MotherDuck. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every ClickUp table, keys intact.
Weld syncs the objects the ClickUp connector exposes into MotherDuck, and you choose which tables and fields to include. The connector's docs list what is available.
- task
- time
- comment
- list
- folder
- user
- team
- task_checklists
- task_custom_fields
- task_assignees
- task_dependencies
- task_clickup_task_tags
- task_linked_tasks
- time_tags
Ask your agent.
It queries MotherDuck for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the ClickUp context, finds the tables it needs and runs the query in MotherDuck.
How many task rows do we have per team? Use our ClickUp data in MotherDuck.
Reading the ClickUp context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the ClickUp API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If ClickUp adds new fields, they're detected and added to the corresponding MotherDuck tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Common questions.
About ClickUp to MotherDuck.
Start syncing ClickUp to MotherDuck.
Set up your ClickUp data pipeline in minutes. No credit card required. Free for 14 days.