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mcp-db-read-only

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    TDQS

    A3.8/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools target clearly distinct resources and actions, and engine-specific operations (run_query, find_documents, search, redis_command) are easy to tell apart. The only mild ambiguity is among context-switching tools like use_database, use_connection, and connect, though their descriptions clarify the differences.

    Naming Consistency3/5

    Many tools follow a list_/get_/use_ verb_noun pattern, but standalone verbs like connect, aggregate, and search, plus noun-only names like distinct_values and redis_command, break the convention. The names are still readable and all snake_case, but the style is not uniform.

    Tool Count4/5

    At 18 tools, this is slightly over the typical sweet spot, but the broad multi-engine scope (SQL, MongoDB, Elasticsearch, Redis) justifies the count. Each tool covers a distinct operation or engine, and none feel redundant.

    Completeness5/5

    The toolset covers the read-only database workflow end-to-end: connection selection, database/table discovery, schema inspection, sample data, and engine-specific query/aggregation/search/read operations. There are no obvious missing capabilities for a read-only toolset.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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