Calendly to MotherDuck integration

Connect Calendly to MotherDuck and automatically sync your application data. Weld extracts data from Calendly, loads it into MotherDuck, and lets you transform the data using SQL or dbt, no custom scripts required.

4.8 on G2
CalendlySource
WeldWeld
MotherDuckWarehouse
Weld · New sync
CalendlySourceCalendlyConnected
Tables to sync
  • list_event_invitees23 cols
  • list_events17 cols
  • list_activity_log_entries9 cols
  • list_organization_memberships7 cols
  • list_user_availability_schedules7 cols
  • Extract
  • Load
  • Keep in sync
MotherDuckDestinationMotherDuckReady
calendly schema
  • calendly.list_event_inviteesSynced
  • calendly.list_eventsSyncing
  • calendly.list_activity_log_entriesSynced
  • calendly.list_organization_membershipsSynced
  • calendly.list_user_availability_schedulesSynced
Calendly tables
5
fields, typed
63
agent context included
MCP

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How it works

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

Weld · New Calendly sync
CalendlyNew connectionCalendlyAuthorised
Connection namecalendly
AuthorizeOpens Calendly to grant read access
Use cases

Why sync Calendly to MotherDuck?
Ready for analysis.

Centralizing your Calendly 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 Calendly data directly in MotherDuck using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring Calendly 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 Calendly to MotherDuck. Connect BI tools like Looker, Metabase, or Power BI.

Schema

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

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

Open the schema explorer
All 5 tables
  • list_event_invitees
  • list_events
  • list_activity_log_entries
  • list_organization_memberships
  • list_user_availability_schedules
Weld MCP server

Ask your agent.
It queries MotherDuck for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Calendly context, finds the tables it needs and runs the query in MotherDuck.

Claude CodeOpus 5
>

How many list_event_invitees rows do we have in MotherDuck?

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

●weld·search_available_references
⎿raw.calendly.list_event_invitees
+ 4 more Calendly tables
●weld·get_reference_schema
⎿list_event_invitees · 23 columns
columns and types
●weld·run_query
⎿select count(*) from {{raw.calendly.list_event_invitees}}
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Calendly data in MotherDuck
>Ask about your Calendly data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the Calendly API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If Calendly 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.
FAQ

Common questions.
About Calendly to MotherDuck.

Start syncing Calendly to MotherDuck.

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

CalendlySource
WeldWeld
MotherDuckWarehouse