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188,635 tools. Last updated 2026-06-10 12:30

"dbt" matching MCP tools:

  • Check per-column test coverage for a dbt model, showing which columns have tests, table-level tests, and coverage percentage.
    MIT
  • Trace dbt lineage by walking parent and child maps to return upstream and downstream nodes up to a configurable depth.
    MIT
  • 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
  • Retrieve a single dbt model's refs, sources, columns, attached tests, and raw/compiled SQL by name or unique ID.
    MIT
  • Retrieve a single dbt test including its definition, parameters, attached models, and latest run result by providing its unique ID.
    MIT

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  • List dbt macros from manifest.json filtered by package or macro name. Use substring search to quickly locate specific macros.
    MIT
  • List dbt models from manifest.json with filters for package, tag, materialization, schema, or name substring search.
    MIT
  • 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
  • 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
  • List dbt sources from a manifest.json file, filtering by source group, name, or table name substring for quick source discovery.
    MIT
  • List recent dbt invocations from run_results.json files for run-history analysis. Supports configurable limit and field extraction.
    MIT
  • Identify tests that repeatedly fail across recent runs by grouping them by chronic failure count, helping prioritize resolutions.
    MIT
  • 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
  • Retrieve names and descriptions of all dbt models in your environment for comprehensive analysis and management.
  • Display all resources within a dbt project for easy visibility and management of data models, sources, and dependencies.
  • Retrieve the parent models of a specified dbt model to understand its dependencies and lineage within the dbt-mcp server.
  • Generate SQL code for dbt models without executing it to validate syntax, preview transformations, or inspect how dbt interprets models before database execution.
    MIT