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postgres-mcp

by hangdo-merkle
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Python
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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

    A4.1/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of database interaction: metadata discovery (schemas, tables, columns, functions), row retrieval (sample, query), and query analysis (explain, database info). The overlap between get_table_sample and execute_query is minimal because one is a convenience for a specific table while the other accepts arbitrary read-only SQL.

    Naming Consistency5/5

    All tools follow a consistent verb_noun snake_case convention, with list_* for metadata enumeration, get_* for specific retrievals, and execute_query/explain_query/describe_table for actions. There are no mixed casing styles or vague verbs.

    Tool Count5/5

    Eight tools is well-scoped for a PostgreSQL introspection and read-only query server. Each tool covers a meaningful capability without redundancy or bloat.

    Completeness5/5

    The tool surface covers the full read-only lifecycle: discovering schemas, tables, columns, functions, database info, sampling data, running arbitrary SELECTs, and explaining query plans. Since execute_query permits arbitrary read-only SQL, any remaining introspection gaps can be queried directly, so there are no dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources