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649,985 tools. Updated 2026-10-10 14:44

"dbt" matching MCP tools:

  • Retrieve a single dbt test including its definition, parameters, attached models, and latest run result by providing its unique ID.
    MIT
  • 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
  • Check per-column test coverage for a dbt model, showing which columns have tests, table-level tests, and coverage percentage.
    MIT

Matching MCP Servers

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    license
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    maintenance
    An MCP server that exposes a dbt project's run state as tools, enabling AI assistants to answer questions like 'is the warehouse healthy?' or 'what broke and why?' via plain English, using read-only access to dbt artifacts and warehouse data.
    4
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Matching MCP Connectors

  • Teen-first library on CBT, DBT, and finding the right therapist.

  • Official STRING database MCP server. Query for protein-protein interactions, enrichment, annotations, homology, and PPI networks.

  • Trace dbt lineage by walking parent and child maps to return upstream and downstream nodes up to a configurable depth.
    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
  • 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
  • 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
  • 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
  • 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
  • Execute SQL queries to debug and inspect data in dbt projects, with an optional limit parameter to control result size.
    Apache 2.0
  • Retrieve detailed information about a specific dbt model, including compiled SQL, descriptions, column names, and types, by providing the model name.
    Apache 2.0
  • 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
  • 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
  • Suggests semantic models for dbt models from manifest.json and catalog.json, deriving keys, links, and value sets from dbt tests and contracts. Read-only, with optional model name filter.
    Apache 2.0