Complete Airtable Database Management with AI Agents and Redis Storage

What this workflow does Complete Airtable database management system using MCP (Model Context Protocol) for AI agents. Create bases, tables with complex field types, manage records, and maintain state with Redis storage.

Setup steps Add your Airtable Personal Access Token to credentials Configure Redis connection for ID storage Get your workspace ID from Airtable (starts with wsp...) Connect to MCP Server Trigger Configure your AI agent with the provided instructions

Key features Create new Airtable bases and custom tables Support for all field types (date, number, select, etc.) Full CRUD operations on records Rename tables and fields Store base/workspace IDs to avoid repeated requests Generic operations work with ANY Airtable structure

Included operations create_base, create_custom_table, add_field get_table_ids, get_existing_records
update_record, rename_table, rename_fields delete_record get/set base_id and workspace_id (Redis storage)

Notes Check sticky notes in workflow for ID locations and field type requirements.