dbt (data build tool) is an open-source command-line tool that enables data analysts and engineers to transform data in their warehouses using SQL. It helps organizations build reliable data pipelines and analytics workflows through version control, documentation, and testing.
Why this server?
Integrates with dbt pipelines to run data quality checks as part of transformation workflows.
Why this server?
Provides tools to interact with dbt, including executing dbt CLI commands (build, compile, run, test), accessing Semantic Layer for metric querying, and using Discovery API to explore models and their relationships in a dbt project.
Why this server?
Provides optional dbt adapters for governed extension packs, allowing integration with dbt transformation workflows while remaining advisory and not altering readiness state.
Why this server?
Provides tools for interacting with a dbt project, enabling AI agents to list models, tests, sources, exposures, macros, runs, check freshness, coverage, and explore the DAG using the project's manifest, run results, and catalog.
Why this server?
Integrates with dbt for data transformation, lineage, and understanding of data pipeline changes.
Why this server?
Allows AI agents to execute dbt CLI commands and interact with dbt projects. Supports operations like run, test, compile, list resources, debug, install dependencies, and load seed data.
Why this server?
Provides remediation for dbt projects by detecting schema-drift incidents against DataHub lineage, generating minimal dbt compatibility patches, and verifying them with dbt parse before human approval.
Why this server?
Works with dbt to automatically profile and monitor data models after runs.
Why this server?
Generates dbt-fabric project file contents for a Fabric Data Warehouse, enabling data transformation workflows with dbt.
