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luislopezsanchez

Postgres MCP Pro

by luislopezsanchez
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Python
Hybrid

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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

    A3.7/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of database management: health checks, index analysis, SQL execution, query explanation, object details, and listing. No tools have overlapping purposes; an agent can easily distinguish them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (e.g., analyze_db_health, execute_sql, list_schemas). The verb choices vary appropriately per action, maintaining predictability.

    Tool Count5/5

    With 9 tools, the set is well-scoped for database analysis and management. Each tool serves a clear purpose without redundancy, and the count feels neither too sparse nor bloated.

    Completeness5/5

    The tool surface covers core database analysis needs: health checks, index recommendations, query execution and explanation, object browsing, and performance insights. Missing operations like object creation can be handled via execute_sql, so no critical gaps exist.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources