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PgGuard Agent

by vk-ai

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    • F
      license
      Not graded
      quality
      C
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      Enables querying PostgreSQL databases via MCP, with multi-database routing, credential isolation, and truncated results plus full CSV export.
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    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables querying and modifying PostgreSQL databases through MCP tools with read/write operations, schema inspection, and write-safety constraints that limit modifications to the mcp schema.
      1
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    • A
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      A
      quality
      C
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      Enables secure querying of PostgreSQL databases through MCP-compatible clients. Supports read-only SQL execution, table exploration, and connection management with built-in security validation.
      3
      30 npm
      9
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    • A
      license
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      quality
      F
      maintenance
      Enables interaction with PostgreSQL databases through MCP, supporting queries, DDL, DML, and schema inspection.
      33 PyPI
      6
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP clients to safely query one or more PostgreSQL databases with read-only tools and explicitly approved write operations.
      136 npm
      1
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    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables interaction with PostgreSQL databases through MCP, allowing users to explore database structures, inspect table schemas, and execute read-only SQL queries.
      -

    TDQS

    A3.6/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool maps to a distinct operation: health check, schema inspection, row queries, DML, DDL, explain, audit, and role/policy lookup. Even though run_select and explain_query both accept queries, their purposes are clearly separated.

    Naming Consistency4/5

    Most tools follow a clear verb_noun snake_case convention: list_schemas, list_tables, describe_table, run_select, explain_query, get_audit_tail. Minor deviations are db_health and whoami, which do not follow the verb_noun pattern but remain understandable.

    Tool Count5/5

    Ten tools is well-scoped for a Postgres guard agent. Each tool serves a necessary purpose in the lifecycle of inspecting and safely modifying a database.

    Completeness4/5

    The tool surface covers health, schema discovery, SELECT/DML/DDL execution, query planning, auditing, and policy introspection. Minor gaps like explicit transaction control or listing roles/indexes are not critical, but could make some workflows more seamless.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues