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dlt-hub

dlt

Official
by dlt-hub

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    Related Servers

    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, suggest tests, and auto-generate non-destructive schema documentation through natural language.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, suggest tests, and safely generate or update model documentation through natural language.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to query live schema, lineage, and query-context across data warehouses, dbt projects, orchestration systems, and BI tools via MCP tools.
      Apache 2.0
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to audit dbt projects for documentation, test coverage, and naming health, profile warehouse data, detect schema drift against the manifest, and non-destructively generate or update schema.yml documentation and tests through natural language.
      -

    TDQS

    C2.8/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a distinct purpose: display_schema for diagram, execute_sql_query for running SQL, get_load_table for load metadata, get_pipeline_local_state for state, get_table_schema for schema, get_table_schema_diff for version diff, list_pipelines for pipeline listing, list_tables for table listing. No overlap.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with snake_case (e.g., display_schema, get_table_schema, list_pipelines). No mixing of conventions.

    Tool Count5/5

    With 8 tools covering pipeline inspection, schema viewing, state retrieval, and query execution, the count is well-scoped for a data pipeline management server.

    Completeness4/5

    The tool set covers inspection and querying comprehensively (list, schema, state, load info, SQL execution), but lacks lifecycle operations like creating or deleting pipelines, which may be intentional for a read-only server.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues