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Alternatives to airlock-rls-mcp

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables AI coding assistants to check whether an API key is safe to expose, audit Supabase Row Level Security, generate owner-based RLS policy templates, and run a builder-specific pre-launch security checklist. Runs locally over stdio with no network calls, telemetry, or file access.
      5
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI coding agents to audit Supabase or Postgres databases for Row Level Security and multi-tenant isolation holes, reading tables, grants, policies and functions for static findings and optionally probing those policies inside a rolled-back transaction. It reports each hole with an explanation and a fix, so an agent can verify the migrations it just wrote before declaring them done.
      1
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Audits PostgreSQL/Supabase schemas for security issues like missing RLS, permissive policies, and sensitive data exposure during AI conversations.
      3
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI coding assistants to scan projects for security issues such as leaked API keys, missing Supabase RLS, open Firebase rules, unauthenticated routes, and hallucinated packages, then fix and verify the results.
      8
      1
      MIT
    • A
      license
      Not graded
      quality
      F
      maintenance
      Predeploy security scanner for AI-generated code. 80+ vulnerability patterns across secrets, auth, injection, config, Supabase, and logging. Runs locally, code never leaves your machine. Optional x402 witnessed attestation.
      66 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI editors such as Cursor, Claude Code, Windsurf and VS Code to scan a project for common AI-introduced security mistakes — leaked keys, open Supabase/Firebase data, missing auth, unverified Stripe webhooks, SQL injection and more — and return findings with exact fix instructions. It also provides a guided prompt that walks an agent through fixing critical issues one by one and verifying each fix by re-scanning, without ever editing files or rotating keys itself.
      2
      MIT

    TDQS

    A4.1/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools target entirely different surfaces: one greps a deployed website's HTML/JS bundles for leaked keys, the other inspects a Postgres/Supabase catalog for RLS misconfigurations. There is no overlap in inputs, resources, or failure modes, so an agent can never misselect between them.

    Naming Consistency4/5

    Both names are snake_case and verb-first (scan_site_for_exposed_key, audit_supabase_rls), which is a predictable convention. The only minor deviation is that one embeds a prepositional phrase while the other is a flat verb+object, but the pattern is still readable and consistent.

    Tool Count3/5

    Two tools is thin even for a narrowly scoped security-audit server; there is no tool for configuring scope, aggregating findings, or emitting a structured report. Each tool clearly earns its place, but the surface is smaller than the domain implies.

    Completeness3/5

    The two core checks (frontend key leak, database RLS) are well covered, but a Supabase security audit naturally extends to storage bucket policies, auth/edge-function configuration, and security-definer function review, none of which exist here. Agents must treat this as a partial audit rather than full coverage.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues