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    A Model Context Protocol server that integrates essential penetration testing tools (Nmap, Gobuster, Nikto, John the Ripper) into a unified natural language interface, allowing security professionals to execute and chain multiple tools through conversational commands.
    9
    67
    139
    MIT
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    Audits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.
    2
    Apache 2.0
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    An offensive security dataset generator that creates high-quality, multi-turn penetration testing conversation datasets for fine-tuning security-focused LLMs. It enables users to generate realistic pentesting workflows featuring chain-of-thought reasoning, tool outputs, and over 45 diverse attack scenarios.
    95
    MIT
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    Security scanner for MCP servers — vet an MCP before you wire it into an agent. Detects prompt-injection, credential exfiltration (via taint analysis), RCE, and supply-chain risks, and catches cross-server exfil chains no single server reveals. Zero-dependency local CLI, SARIF output, CI-gateable, no account.
    43
    MIT
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    Authorized Android pentest lab, drivable by hand or by AI — Frida bypass chain, live traffic capture with automatic IDOR flagging, full MCP control plane, web dashboard.
    1
    MIT
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    Exposes AI-augmented network reconnaissance and evasion capabilities as callable FastMCP tools, enabling natural language orchestration of host discovery, service fingerprinting, CVE mapping, and attack chain synthesis.
    1
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    Enables users to query BloodHound Active Directory graph data using natural language, finding attack paths, Kerberoastable accounts, and other AD security insights.
    23