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    Enables AI agents to generate and manage specialized bug bounty hunting workflows including reconnaissance, vulnerability testing, OSINT gathering, and file upload testing. Provides REST API endpoints for comprehensive security assessments with intelligence-driven vulnerability prioritization.
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    MIT
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    An MCP server that enables LLMs to query and reason over Active Directory attack graphs collected by BloodHound, providing attack paths, blast radius analysis, choke points, and defender remediation advice.
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    MIT
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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.
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    MIT
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    Generates syscall code (C, C++, Rust, NIM) using various hooking methods, and includes an MCP server for AI assistants to produce syscall stubs.
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    GPL 3.0
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    A rogue MCP server (~90 lines) that demonstrates prompt injection via tool responses to achieve remote code execution on a developer's machine.
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    MIT
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    A comprehensive MCP server for Frida dynamic instrumentation, enabling AI agents to manage devices, processes, scripts, memory, and ADB operations.
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    MIT
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    Enables AI assistants to autonomously execute over 200 open-source penetration testing tools via MCP, including reconnaissance, web exploitation, and brute-forcing, through a unified server architecture with Docker sandboxing for safe execution.
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    MIT
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    Connects AI assistants to Intigriti by syncing programs, scopes, and rules of engagement, then provides tools to search and generate actionable attack briefings.
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    MIT
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    Enables automated penetration testing workflow planning using Beam Search and Monte Carlo Tree Search algorithms to generate step-by-step attack paths, score vulnerabilities, and recommend tools for reconnaissance, exploitation, and privilege escalation tasks.
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    MIT
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    Connects MCP clients to a Kali Linux terminal for AI-assisted penetration testing and CTF challenge solving by executing commands like Nmap, Metasploit, and custom scripts.
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    MIT
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    Enables AI-powered security scanning of codebases through conversational analysis, allowing users to assess, threat model, code review, DAST test, and generate security reports using natural language with Claude.
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    MIT
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    Connects LLMs to a Kali Linux host over SSH for authorized penetration testing, exposing tools organized by pentest phases (recon, enumeration, exploitation) with scope guardrails.
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    MIT