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Postgres MCP Pro

Postgres MCP Pro

by sparta2025

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    • A
      license
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      B
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      Enables AI agents to inspect PostgreSQL health, tune indexes, review and optimize EXPLAIN plans, understand schemas for context-aware SQL, and execute SQL safely with read-only/restricted or unrestricted access modes.
      MIT
    • A
      license
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      D
      maintenance
      Enables AI assistants to safely explore, analyze, and maintain PostgreSQL databases with read-only mode by default, SQL injection prevention, query performance analysis, and optional write operations.
      87 npm
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    • A
      license
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      D
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      Enables AI agents to interact with PostgreSQL databases through schema intelligence, query execution, and DBA tooling including index analysis and health monitoring. Features configurable access levels and audit logging for secure database operations.
      432 npm
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    • A
      license
      Not graded
      quality
      D
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      Enables AI assistants to safely interact with PostgreSQL databases, perform queries, inspect schemas, and analyze query performance.
      2
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to perform PostgreSQL database operations, monitoring, and management via natural language, covering performance analysis, bloat detection, lock/deadlock monitoring, autovacuum and schema inspection with read-only production-safe queries.
      -

    TDQS

    A3.7/5.0

    Scored across 15 tools

    Disambiguation4/5

    Most tools target clearly distinct concerns: schema listing, object details, SQL execution, explain plans, active queries, locks, sizes, and index analysis. The main potential confusion is between analyze_db_health and get_database_info, which both provide broad database-level overviews and could lead an agent to pick the wrong one.

    Naming Consistency5/5

    All tool names follow a consistent lowercase verb_noun pattern (list_schemas, get_object_details, execute_sql, analyze_index_performance, etc.). The naming convention is uniform and predictable, making it easy to infer what each tool does.

    Tool Count4/5

    15 tools is at the upper end of the ideal range but still reasonable for a Postgres server covering introspection, SQL execution, performance analysis, and health checks. The inclusion of manage_encryption_key and list_tools adds some scope beyond the core database domain, making the set feel slightly over-packed.

    Completeness4/5

    The tool surface covers schema discovery, object details, arbitrary SQL execution, query explanation, performance diagnostics, active queries, locks, table sizes, and database info. Notable gaps include no query cancellation/termination, no vacuum/analyze maintenance tool, and no explicit database-level listing, though execute_sql can work around some of these.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues