Skip to main content
Glama

Related Servers

Alternatives to Zift

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables developers and product owners to scan a codebase and extract a readable business overview—features, roles, access control, data model, and endpoints—along with findings on missing or inconsistent rules, and generate shareable HTML or Markdown reports and diagrams.
      9
      2
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Agent-native "safe to ship?" security gate for AI-generated code. Uses real parsers and inter-rocedural taint analysis (JS/TS, Python, Go) to flag the classes AI coding agents get wrong — secrets, SQL injection, SS, SSRF, path traversal, command injection, weak JWT/CORS — and ranks findings by confidence. Exposes a scan tool over MCP.
      1
      10 npm
      2
      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.
      44 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Analyzes application code locally to automatically generate baseline AWS IAM identity-based policies by detecting AWS SDK calls in Python, Go, and TypeScript applications. Helps AI coding assistants quickly create IAM permissions that can be refined as applications evolve.
      464
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Local-first security check for AI coding agents — finds hardcoded secrets, exposed .env files, git-history leaks and vulnerable dependencies (OSV), entirely on your machine. Ask your agent "is this safe to ship?" and get a Launch Readiness score with a fix for every finding.
      MIT