Cyber Security
Top open-source Cyber Security AI systems, agents, and MCP tools.
Discover and install verified Cyber Security AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (24)
Open in Advanced Filter一款基于各大企业信息API的工具,解决在遇到的各种针对国内企业信息收集难题。一键收集控股公司ICP备案、APP、小程序、微信公众号等信息聚合导出。支持MCP接入
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.
Autonomous AI pentesting agents — real-time reconnaissance, vulnerability detection, and exploitation orchestration. Go + TypeScript.
Open source AI terminal for cloud and infrastructure management, enabling you to deploy, troubleshoot, and automate services using natural language and intelligent agents.
MCP server for VirusTotal API — analyze URLs, files, IPs, and domains with comprehensive security reports, relationship analysis, and pagination support.
CTI Expert — Cyber Threat Intelligence & OSINT analysis skill for Claude Code / Codex. 120+ commands, 57 techniques, 79 typed MCP tools, deterministic case pipeline + ICD-203 reports. No API keys required for core.
PCAP Hunter is an AI threat hunting workbench. It uses Zeek and Tshark to analyze PCAPs, enriched by OSINT. Features include a world map, JA3 forensics, and C2 detection. It generates multi-language security reports via local or cloud LLMs, prioritizing privacy and speed.
Open-source AI skill from https://github.com/MCP-Manager/MCP-Security-Checklists
ARTEX 한국어판 · AI 자율 침투 테스트 프레임워크(upstream: Autumn-27/ARTEX, AGPL-3.0)
EVA is an AI-assisted penetration testing agent that enhances offensive security workflows by providing structured attack guidance, contextual analysis, and multi-backend AI integration.
Turn Claude Code into your offensive security research assistant. Specialized AI subagents for authorized penetration testing plan engagements, analyze recon, research exploits, build detections, audit STIGs, and write reports.
Deception-layer honeypot that captures & reverse-controls AI pentest agents — embedded decoys, prompt-injection counter-offense, MCP honeypot, conversational C2.
Turn Claude Code into your offensive security research assistant. Specialized AI subagents for authorized penetration testing plan engagements, analyze recon, research exploits, build detections, audit STIGs, and write reports.
A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei, SQLMap, Hashcat and more.
基于 AI Agent + MCP 工具链 + 渗透 Skill 编排, 配合大语言模型, 自然语言输入 → 自动完成「信息收集 → 漏洞发现 → 漏洞利用 → 报告生成」全流程。
Reconstruct and validate C/C++ code from compiled programs with AI.
Lyrie.ai — The world's first autonomous AI cybersecurity agent. Built by OTT Cybersecurity LLC.
Open-source AI skill from https://github.com/google/mcp-security
Meet Mitsu, your chibi red-team operator. Connect your AI provider, set the scope, and she can take an authorized pentest from recon and attack-surface mapping through vulnerability discovery, > exploitation, and post-exploitation, armored with 165+ MCP-connected tools and live session intel. Guide every step or let her pwn autonomously. ( ◠‿◠)
🛡️ Free open-source AI-powered security terminal & vulnerability scanner (CVE, SBOM). Supports SSH, SFTP, RDP, VNC, Serial, and 12+ autonomous AI agents (DeepSeek, OpenAI) for automated security workflows, CTF & DevSecOps. Cross-platform & Web UI.
AI 驱动的自主渗透测试平台:输入目标,AI agent 自动完成侦察→规划→主动测试→漏洞验证→报告生成。黑板引擎+多 worker+SRC 验收门禁。仅供学术与安全研究使用。
PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.
Build & Monetize for Cyber Security
Have you created an autonomous agent, MCP server, or Claude Code skill for Cyber Security? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.

