How to Connect an AI Agent to Your Data Warehouse

Short summary

Text-to-SQL agents hallucinate joins, lack access control, and return inconsistent numbers because they query raw tables without business context. Defining metrics in a YAML-based semantic layer and exposing them via MCP gives every AI agent governed, consistent definitions with row-level security and audit trails. The tutorial walks through connecting Cube to a warehouse and creating a basic orders cube in under 30 minutes.

• •Text-to-SQL lacks governance, consistency, and access control for production use
• •A semantic layer exposed via MCP gives agents governed metrics with row-level security
• •Cube connects to major warehouses and can be set up in under 30 minutes

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