Execute dbt models to transform data and build analytical tables in a data warehouse. Use this to refresh data or implement new data transformations in a dbt project, returning command output as text.
Retrieve comprehensive metadata about your DBT project structure, models, sources, and configuration details to understand project architecture and dependencies.
Preview data transformation results from a specific dbt model without materializing it. Use this tool to inspect, debug, or demonstrate processed data in JSON or other formats. Ideal for AI-driven analysis and verification.
Execute a comprehensive dbt build process to run seeds, snapshots, models, and tests in the correct order for complete project deployment and component validation.
Enables AI assistants to interact with DBT (Data Build Tool) projects, allowing them to query project metadata, inspect models and sources, view compiled SQL, and run DBT commands.