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SQMCPaL

by ChingEnLin
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    • postgres-mcp-server

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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

    A4.5/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool targets a distinct resource/action: Azure server listing, connection management, session context, and per-table operations (describe, sample, count, distinct). No two tools overlap in purpose, and the read-only query tool is clearly separated from specialized row/count/distinct tools.

    Naming Consistency4/5

    Nearly all tools follow a consistent verb_noun snake_case pattern (list_tables, connect_server, run_query, set_context). The one exception is 'distinct_values', which uses an adjective_noun form instead of a verb-based name, creating a slight deviation from the otherwise uniform pattern.

    Tool Count5/5

    14 tools is well within the ideal 3–15 range and each one serves a clear, non-redundant purpose for interacting with Azure Database for PostgreSQL. The count feels appropriately scoped—comprehensive without bloat.

    Completeness5/5

    The tool set fully covers the lifecycle of connecting, exploring, and querying a PostgreSQL database: discover servers, connect, list databases/schemas/tables, inspect table schemas, sample data, count rows, get distinct values, and run read-only SQL. No obvious gaps for the domain of read-only database inspection.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources