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dbt-mcp

dbt-mcp

by qraza
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Python
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    • dbt-mcp

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    TDQS

    A4.5/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: run_summary provides a high-level overview, list_failing_tests enumerates failures in detail, sample_failing_rows retrieves offending rows, and health checks configuration. Even though run_summary and list_failing_tests both relate to failing tests, they operate at different levels of detail, leaving no ambiguity.

    Naming Consistency4/5

    Most tool names follow a consistent verb_noun pattern (run_summary, list_failing_tests, sample_failing_rows). However, 'health' breaks the pattern as a single noun rather than a verb_noun construct, a minor but noticeable deviation.

    Tool Count5/5

    With 4 tools, the server is well-scoped for its purpose of analyzing dbt test failures. Each tool earns its place, and the count is appropriate for a focused domain without feeling thin or bloated.

    Completeness5/5

    The tool set covers the full workflow: verifying setup (health), getting a summary (run_summary), drilling into failures (list_failing_tests), and examining specific rows (sample_failing_rows). No obvious missing operations within the stated scope.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

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