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SkillsMay 12, 2026·2 min de lecture

Agentic Security — LLM/MCP Red-Team Scanner

Agentic Security is a Python tool to probe LLM apps with attack prompts and run scans; it also ships an MCP server entrypoint for tool-based workflows.

Prêt pour agents

Installation agent prête

Cet actif peut être installé après choix du runtime, vérification du plan et exécution de la commande adaptée.

Native · 98/100Policy : autoriser
Surface agent
Tout agent MCP/CLI
Type
Skill
Installation
Single
Confiance
Confiance : Established
Point d'entrée
Asset
Commande d'installation directe
npx -y tokrepo@latest install a2379bc5-47cb-434b-8cd6-a12cfca6753a --target codex

À exécuter après confirmation du plan en dry-run.

Introduction

Agentic Security is a Python tool to probe LLM apps with attack prompts and run scans; it also ships an MCP server entrypoint for tool-based workflows.

  • Best for: security teams validating LLM safety, jailbreak resistance, and tool-call hardening
  • Works with: Python, local datasets (CSV), optional MCP server install
  • Setup time: 15–45 minutes

Practical Notes

  • Data point: the README example shows the server running on port 8718.
  • Quant: run scans against staging first; promote to CI only after false-positive tuning.

Pattern: build a reproducible red-team harness

To avoid one-off, non-repeatable results:

  • pin the dataset version (CSV),
  • log model + parameters,
  • and store scan outputs as artifacts.

Pattern: scan tool servers too

If your agent uses MCP servers, treat them as part of your attack surface:

  • scan repo code,
  • scan remote URLs before deployment,
  • and add allowlists for file/network capabilities.

FAQ

Q: Is it open-source? A: Yes. The repo is Apache-2.0 licensed.

Q: Can it run without an MCP client? A: Yes. You can run the scanner directly as a CLI.

Q: What’s the safest rollout? A: Start on staging and log everything; then gradually enable CI gates.

🙏

Source et remerciements

Source: https://github.com/msoedov/agentic_security > License: Apache-2.0 > GitHub stars: 1,867 · forks: 249

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