"dbt" matching MCP tools:

• dbt-coverageA

  @us-all/dbt-mcpB

  Check per-column test coverage for a dbt model, showing which columns have tests, table-level tests, and coverage percentage.

  MIT

• dbt-graphB

  @us-all/dbt-mcpB

  Trace dbt lineage by walking parent and child maps to return upstream and downstream nodes up to a configurable depth.

  MIT

• dbt-get-sourceA

  @us-all/dbt-mcpB

  Retrieve a single dbt source's freshness criteria, columns, and latest freshness result from sources.json by unique ID or source and table names.

  MIT

• dbt-get-modelA

  @us-all/dbt-mcpB

  Retrieve a single dbt model's refs, sources, columns, attached tests, and raw/compiled SQL by name or unique ID.

  MIT

• dbt-get-testA

  @us-all/dbt-mcpB

  Retrieve a single dbt test including its definition, parameters, attached models, and latest run result by providing its unique ID.

  MIT

• dbt-list-macrosA

  @us-all/dbt-mcpB

  List dbt macros from manifest.json filtered by package or macro name. Use substring search to quickly locate specific macros.

  MIT

• dbt-get-macroA

  @us-all/dbt-mcpB

  Retrieve a dbt macro's signature and raw SQL, and find which nodes call it.

  MIT

• dbt-list-modelsA

  @us-all/dbt-mcpB

  List dbt models from manifest.json with filters for package, tag, materialization, schema, or name substring search.

  MIT

• dbt-list-exposuresA

  @us-all/dbt-mcpB

  List dbt exposures to discover downstream consumers such as dashboards, applications, and ML models defined in YAML.

  MIT

• dbt-sla-statusB

  @us-all/dbt-mcpB

  Compare latest dbt run test pass rate and source freshness pass rate against configured SLA thresholds, returning per-axis pass percentage and targets with caveats for missing data.

  MIT

• dbt-slow-modelsB

  @us-all/dbt-mcpB

  List the slowest dbt models by execution time and bytes processed to identify performance bottlenecks.

  MIT

• dbt-get-run-resultsB

  @us-all/dbt-mcpB

  Get per-node results from a dbt invocation, with optional filtering by status and fields extraction for efficient analysis of run history and test coverage.

  MIT

• dbt-list-testsC

  @us-all/dbt-mcpB

  List dbt generic or singular tests with optional filters for model, name, or test type. Includes configurable limit and field extraction for token efficiency.

  MIT

• dbt-list-sourcesC

  @us-all/dbt-mcpB

  List dbt sources from a manifest.json file, filtering by source group, name, or table name substring for quick source discovery.

  MIT

• dbt-list-runsC

  @us-all/dbt-mcpB

  List recent dbt invocations from run_results.json files for run-history analysis. Supports configurable limit and field extraction.

  MIT

• dbt-failed-testsB

  @us-all/dbt-mcpB

  Identify tests that repeatedly fail across recent runs by grouping them by chronic failure count, helping prioritize resolutions.

  MIT

• showA

  dbt-mcpB

  Execute SQL queries to debug and inspect data in dbt projects, with an optional limit parameter to control result size.

  Apache 2.0

• get_model_detailsA

  dbt-mcpB

  Retrieve detailed information about a specific dbt model, including compiled SQL, descriptions, column names, and types, by providing the model name.

  Apache 2.0

• parseB

  dbt-mcpB

  Parse and validate dbt project contents for Jinja or YAML syntax errors, generating a detailed artifact with timing insights for large project analysis.

  Apache 2.0

• testB

  dbt-mcpB

  Run data tests on models, sources, snapshots, and seeds, and execute unit tests on SQL models to ensure data quality and accuracy in your dbt projects.

  Apache 2.0

• get_all_modelsB

  dbt-mcpB

  Retrieve names and descriptions of all dbt models in your environment for comprehensive analysis and management.

  Apache 2.0