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mcp-duckdb-analyst

by nkrimmel
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    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

    ActivitySlowing
    ResponsivenessNo issues

    Resources