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crystaldba

Postgres MCP

by crystaldba
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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 interaction: health checks, index analysis, query execution, explain plans, object details, top queries, and listing schemas/objects. There is no overlap; the two index analysis tools are differentiated by input (specific queries vs. workload).

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (analyze_, execute_, explain_, get_, list_). Verbs like 'analyze', 'execute', 'explain', 'get', and 'list' are used uniformly, making the naming predictable.

    Tool Count5/5

    With 9 tools, the set is well-scoped for a Postgres MCP server covering health analysis, index optimization, query execution, and schema exploration. It neither feels sparse nor overwhelming, earning its place.

    Completeness4/5

    The tool set covers analysis and ad-hoc queries comprehensively via execute_sql, but lacks explicit tools for creating, altering, or dropping database objects. However, execute_sql enables these operations indirectly, making the gap minor.

    Maintenance

    ActivitySlowing
    ResponsivenessUnresponsive

    Resources