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MOmayr
by MOmayr

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Alternatives to MCP PostgreSQL Server

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to interact with PostgreSQL or MySQL databases using natural language. Supports SQL queries, schema discovery, and pre-built aggregations without writing SQL.
      266 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      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.
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    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Provides AI assistants with safe, controlled access to PostgreSQL databases with read-only defaults, granular permissions, query safety features, and schema introspection capabilities.
      1
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    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to analyze, optimize, and safely interact with PostgreSQL databases, including health checks, index recommendations, query planning, and SQL execution with read-only and production protection modes.
      15
      MIT

    TDQS

    B3.3/5.0

    Scored across 11 tools

    Disambiguation4/5

    Most tools are clearly distinct: query (SELECT) vs execute (DML), list_* vs describe_*, and vector_search vs resolve_mentions have different modalities. Minor overlap exists between query and execute (both run SQL, split by statement type) and between vector_search and resolve_mentions (both search), but descriptions help disambiguate.

    Naming Consistency3/5

    Most tools follow a verb_noun or verb_noun_phrase pattern (connect_db, validate_sql, list_schemas, describe_tables, vector_search). However, 'query' and 'execute' are bare verbs that break the pattern, and 'resolve_mentions' is more descriptive than action-oriented. The mix is readable but not fully consistent.

    Tool Count5/5

    11 tools is well within the ideal range for a database server and each tool covers a distinct capability (connection, querying, validation, schema introspection, vector operations). No tool feels redundant or excessive.

    Completeness3/5

    Core row-level CRUD is covered (query for SELECT, execute for INSERT/UPDATE/DELETE) and schema introspection plus vector features are present. However, there is no DDL support (CREATE/ALTER/DROP), no transaction control, and no explicit disconnect, which are notable gaps for a general PostgreSQL server.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues