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"Penetration Testing" matching MCP servers:

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    Enables Android APK reverse engineering and Flutter runtime injection through a six-step pipeline of decompile, analyze, synthesize, inject, patch, and repackage. Provides MCP tools for authorized security research and penetration 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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    Enables ethical security testing and attack surface management through SSL certificate validation, CVE queries, subdomain enumeration, security header analysis, and comprehensive reconnaissance capabilities. Designed for authorized penetration testing workflows with responsible disclosure practices.
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    An MCP server that connects language models to a Wazuh SIEM cluster, enabling read-only plain-language queries, schema inspection, field coverage analysis, and decoder testing.
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    Apache 2.0
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    MCP server that gives an AI agent a throwaway test identity — a real disposable email address and a real UK phone number — so it can sign up for something it's testing and read back the verification email/SMS itself, without a human in the loop.
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    MIT
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    MCP server exposing statistical regression testing for LLM agents as a "run" tool: p-value, effect size, and confidence interval on whether agent behavior actually changed.
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    Apache 2.0
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    A server that provides AI assistants programmatic control of Safari browser on macOS for web automation, testing, and debugging.
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    Developer-focused MCP server for code analysis and local engineering workflows. Provides tools for JSON repair, encoding fixes, import organization, format conversion, diff inspection, and regex testing.
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    MIT
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    This MCP server enables security auditing for MCP configurations and AI agents, including prompt injection testing, data flow tracing, and security policy generation.
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    MIT
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    Checks whether a trading backtest survives its own statistics: deflated Sharpe, multiple-testing correction against a best-of-N-noise benchmark, minimum track record length, and fill realism. Takes no market data and no API keys, and cannot recommend a trade — it only reports that a result is weaker than claimed or not yet provable.
    MIT
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    A collection of MCP servers for Kali Linux that empower AI Agents in reverse engineering and security testing, providing network analysis, target sniffing, traffic analysis, binary understanding, and automation capabilities.
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    Enables algorithmic trading compliance with MiFID II Article 17, providing tools for strategy classification, RTS 6 testing, and best execution audits. Also supports EU AI Act compliance.
    MIT
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    An all-in-one development toolkit that integrates 10 popular MCPs with comprehensive features for solo developers, supporting frontend, backend, mobile development, database management, testing, and deployment automation.