Airtable AI — Automate Airtable with Runner
Ask for the records you need, and let Runner keep the base up to date.
Runner connects to Airtable through its first-party MCP server with schema-first queries, record search, and batch writes for reliable data operations.
What Runner does in Airtable
- Query records with filterByFormula instead of client-side filtering.
- Get schema first to discover exact field names and types.
- Batch create and update records with proper field validation.
Example asks
Query filtered records
Pull all records from the pipeline tracker where status is 'Active' and close date is this quarter.
Runner queries the base with the right formula instead of pulling everything and filtering manually.
Inspect the schema before writing
Show me the field names and types in the customer feedback base before I add records.
Writes land in the right fields instead of being silently dropped.
Batch update records
Update the status to 'Complete' for the three tasks I just finished.
Multiple records update in one pass without manual base editing.
Create records from workflow output
Add a new row to the customer feedback base with the sentiment, source, and summary.
Structured workflow outputs land directly in the operating base.