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    Enables LLM-powered browser automation and security testing with features like browser management, network monitoring, DOM manipulation, and captcha handling.
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    Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.
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    MIT
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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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    A Model Context Protocol server designed for testing backend APIs for security vulnerabilities like authentication bypass, injection attacks, and data leakage.
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    MIT
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    Enables AI assistants to execute security testing tools on a Kali Linux machine over SSH, including reconnaissance, web app scanning, and static/dynamic analysis.
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    MIT
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    AI-Powered Red Team MCP Server enabling autonomous penetration testing via Model Context Protocol with 44+ security tools for AI agents.
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    MIT
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    Enables running Kali Linux security tools and commands in a containerized environment for semi-automated penetration testing, with background job management and out-of-band interaction detection.
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    Apache 2.0
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    Enables AI-assisted penetration testing by connecting MCP clients to execute terminal commands on a Kali Linux machine, supporting tools like Nmap, Metasploit, and custom commands.
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    MIT
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    Config-driven MCP server that exposes Kali Linux penetration testing tools to AI agents, with automatic tool discovery, man page integration, and local/remote execution modes.
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    MIT
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    Automatically generates pocsuite3-compliant POC (Proof of Concept) code from vulnerability information, with built-in safety features to prevent harmful payloads and ensure secure security testing.
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    MIT
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    Enables AI-assisted penetration testing by connecting MCP clients to a Windows API server for executing penetration testing tools like nmap, ffuf, nuclei, and other security tools. Allows AI agents to perform automated security assessments, solve CTF challenges, and assist with ethical hacking tasks through natural language commands.
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