Python
Apache 2.0
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?
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?
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 access to dbt project metadata through manifest.json and catalog.json artifacts, enabling search of models, sources, and tests, inspection of node attributes, exploration of model dependencies, and tracing of column-level lineage within dbt projects.
Why this server?
Connects to the dbt Semantic Layer to provide access to business metrics, allowing users to browse available metrics, generate semantic queries, analyze data with filters and groupings, and visualize query results.
Why this server?
Integrates with dbt through a manifest file path, likely enabling querying or analysis of dbt models and metadata.