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"How to control macOS" matching MCP servers:

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    Enables AI assistants to perform password security auditing using John the Ripper on a remote Kali system via SSH, supporting cracking, hash management, and session control.
    12
    MIT
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    quality
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    Exposes Evan's Debugger (EDB) features as MCP tools, enabling AI-driven debugging, reverse engineering, and exploit development with 147 tools including program control, breakpoints, memory analysis, ROP gadgets, and pwntools integration.
    100
    3
    MIT
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    Enables AI agents to programmatically control Cheat Engine for memory scanning, editing, cheat table management, and reverse engineering tasks.
    42
    MIT
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    An MCP server for agent authorization that tests the full effect surface and enforces control over consequential actions before dispatch, emitting verifiable execution evidence.
    1
    Apache 2.0
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    MCP server for AI-driven VAPT orchestration, enabling agents to plan and execute authorized security scans through a control plane that enforces scope, sanitization, budget, rate limits, human approval, and audit logging.
    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.
    1
    MIT
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    quality
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    A Model Context Protocol server that enables AI assistants to search and retrieve information about security exploits and vulnerabilities from the Exploit Database, enhancing cybersecurity research capabilities.
    28
    MIT
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    Fully automated MCP server built to communicate with JADX-AI-MCP Plugin to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, parse manifests, and reverse engineer effortlessly.
    Apache 2.0
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    Enables AI agents to perform security testing on web applications by controlling a Firefox browser with 39 security tools, including injection testing and access control analysis.
    18
    MIT
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    An MCP server that measures how effectively hashing tool definitions detects unauthorized changes, evaluating 20 policies across field sets and canonicalization methods. It demonstrates that approval-dialog-based pins miss most attacks, with structural/semantic normalization being free but text folding trading detection for fewer false alarms.
    MIT