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nkrimmel

mcp-duckdb-analyst

by nkrimmel
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    TDQS

    A3.9/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: table listing, column search, profiling, sampling, relationships, and query execution. The main ambiguity is that `query` supports DESCRIBE, SUMMARIZE, and EXPLAIN, which overlaps semantically with `describe_table`, `profile_table`, and `explain_query`, though the specialized tools return richer structures.

    Naming Consistency4/5

    Tool names generally follow a clear snake_case verb_noun pattern like list_tables, describe_table, profile_table, and explain_query. Two deviations exist: `query` has no object and `table_relationships` is noun_noun rather than verb_noun, but the overall naming style remains coherent.

    Tool Count5/5

    Eight tools is well within the ideal range for a read-only DuckDB analyst server. Each tool covers a meaningful part of the analytical workflow without unnecessary redundancy or bloat.

    Completeness5/5

    The tool surface covers the core read-only analysis lifecycle: discovering tables, exploring schemas, profiling columns, sampling rows, searching columns, understanding relationships, and running arbitrary queries. There are no obvious dead ends for a typical data-analysis workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources