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Alternatives to mysql-audit

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables static, database-free SQL health checks that return rule-based findings and verdicts, propose executable fixes, and verify rewrites are equivalent while comparing execution plans and suggesting indexes. Supports batch/file/git-diff review for CI gating, all at zero-dependency Tier0.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables safe database migration workflows by detecting frameworks, reviewing migration risk and drift, generating migration files with explicit approval, and providing rollback guidance—without ever applying migrations or executing rollbacks.
      7
      4 npm
      1
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI coding agents to perform deterministic database architecture audits and performance engineering for PostgreSQL and MySQL, covering migration analysis with schema health scoring, ESR-based composite index recommendations, N+1 query detection, EXPLAIN plan diagnosis, transaction and deadlock analysis, partitioning and archival design, and capacity or configuration tuning. It also generates phased Expand & Contract runbooks that turn blocking DDL into zero-downtime production migrations.
      8
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Blocks unsafe PostgreSQL migrations before an AI agent writes or runs them. check_before_apply returns a pass/fail gate; reads the real Postgres parser, classifies the lock each statement takes, checks 112 safety rules. Runs offline, no database required.
      7
      438 npm
      9
      MIT

    TDQS

    A3.6/5.0

    Scored across 6 tools

    Disambiguation4/5

    The three review tools are separated by input type (DDL/migration, DML queries, application source code), and their descriptions make these boundaries explicit. preflight_checks, explain_rule and list_rules are clearly distinct. Minor residual risk that an agent passes query text to review_code or vice versa, but descriptions mitigate this well.

    Naming Consistency4/5

    All names are snake_case and mostly follow a verb_noun pattern (review_migration, review_query, review_code, explain_rule, list_rules). preflight_checks is the one noun-only outlier, but it is still readable and consistent in style.

    Tool Count5/5

    Six tools is well-scoped for an audit/lint server: three analysis entry points, one pre-deploy checklist generator, and two rule-discovery helpers. Each tool has a clear reason to exist with no filler.

    Completeness4/5

    The surface covers the full audit lifecycle: migration review, query review, injection scanning, pre-deploy checks, and rule discovery/explanation. The only gaps are that nothing connects to the database itself (a deliberate design choice stated in preflight_checks) and there is no way to inspect live schema or existing table state directly.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues