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Kenning PG MCP

by kenningai
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Python
Hybrid

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    • PostgreSQL

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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 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: describe_object inspects a single relation's shape, execute_query runs SQL, explain_query plans SQL, list_extensions and list_schemas enumerate namespaces, list_objects lists relations in a schema, and server_info reports environment. No two tools overlap in function.

    Naming Consistency4/5

    Most tools follow a consistent verb_object pattern (describe_object, execute_query, explain_query, list_extensions, list_schemas, list_objects, server_info). The only slight deviation is the phrase-based server_info which could be get_server_info, but it's still clearly readable and consistent with the snake_case convention.

    Tool Count5/5

    Seven tools is a well-scoped count for a PostgreSQL inspection server. Each tool earns its place covering discovery, planning, execution, and environment introspection without bloat.

    Completeness5/5

    The surface covers the full inspection lifecycle: orientation (server_info, list_schemas, list_extensions), table discovery (list_objects), full schema detail (describe_object), planning (explain_query), and execution (execute_query). The guidance embedded in descriptions (e.g., run explain first, check extensions before depending on them) chains the tools into a complete workflow with no dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources