A
licenseNot graded
qualityD
maintenanceMCP (model context protocol) server for interacting with dbt Docs
11 PyPI
23
MIT
dbt-mcp
Officialby dbt-labs
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TDQS
B3.2/5.0
Scored across 16 tools
Disambiguation3/5
Most tools have distinct purposes, but there is some overlap between 'build' and 'run' (both execute models), and 'compile' and 'parse' (both involve processing project files). Descriptions help clarify differences, but an agent might still confuse these pairs in certain contexts.
Naming Consistency2/5
Naming is inconsistent with mixed patterns: some use verb_noun (e.g., 'get_all_models', 'list_metrics'), others use single verbs (e.g., 'build', 'run', 'compile'), and some are noun-based (e.g., 'docs'). This lack of a uniform convention makes the set harder to navigate and predict.
Tool Count4/5
With 16 tools, the count is reasonable for a dbt server covering core operations, project management, and semantic layer queries. It's slightly on the higher side but well within an acceptable range for the domain's complexity.
Completeness5/5
The tool set comprehensively covers dbt functionality: core commands (build, run, test), project inspection (compile, parse, list), model details retrieval, and full semantic layer operations (list_metrics, query_metrics with supporting tools). No obvious gaps exist for typical dbt workflows.
Maintenance
ActivityActive
ResponsivenessWithin a week