ClickUp to PostgreSQL integration

Connect ClickUp to PostgreSQL and automatically sync your project management data. Weld extracts data from ClickUp, loads it into PostgreSQL, and lets you transform the data using SQL or dbt, no custom scripts required.

4.8 on G2
ClickUpSource
WeldWeld
PostgreSQLWarehouse
Weld · New sync
ClickUpSourceClickUpConnected
Tables to sync
  • task53 cols
  • time30 cols
  • comment27 cols
  • list27 cols
  • folder12 cols
  • user11 cols
  • Extract
  • Load
  • Keep in sync
PostgreSQLDestinationPostgreSQLReady
clickup schema
  • 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

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How it works

How to set up ClickUp to PostgreSQL in Weld.
In the app, with the API or an agent.

Weld · New ClickUp sync
ClickUpNew connectionClickUpAuthorised
Connection nameclickup
AuthorizeOpens ClickUp to grant read access
Use cases

Why sync ClickUp to PostgreSQL?
Ready for analysis.

Centralizing your ClickUp data in PostgreSQL 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 PostgreSQL using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring ClickUp data into PostgreSQL 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 PostgreSQL. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every ClickUp table, keys intact.

Weld syncs the objects the ClickUp connector exposes into PostgreSQL, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 14 tables
  • 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
Weld MCP server

Ask your agent.
It queries PostgreSQL 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 PostgreSQL.

Claude CodeOpus 5
>

How many task rows do we have per team? Use our ClickUp data in PostgreSQL.

Reading the ClickUp context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.clickup.task
raw.clickup.team
+ 12 more ClickUp tables
●weld·get_reference_schema
⎿task · 53 columns
joins team on team_id
●weld·run_query
⎿select j.id, count(*) from {{raw.clickup.task}} t
join {{raw.clickup.team}} j on t.team_id = j.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from ClickUp data in PostgreSQL
>Ask about your ClickUp data
Under the hood

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 PostgreSQL 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.
FAQ

Common questions.
About ClickUp to PostgreSQL.

Start syncing ClickUp to PostgreSQL.

Set up your ClickUp data pipeline in minutes. No credit card required. Free for 14 days.

ClickUpSource
WeldWeld
PostgreSQLWarehouse