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    Enables AI models to search and retrieve offline security knowledge from over 20 curated sources including HackTricks, PayloadsAllTheThings, and OWASP guides, via the Model Context Protocol.
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    MIT
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    Enables AI assistants to perform reverse engineering and debugging of Windows executables through x64dbg, with tools for loading executables, controlling execution, analyzing memory and security, and generating reports.
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    An MCP server that enables AI-assisted mobile security testing by exposing Frida functionality for Android application research. It provides tools for hooking Java methods, manipulating memory, managing device processes, and executing custom Frida scripts.
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    MIT
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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.
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    MIT
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    MCP server wrapping GDB and GEF for dynamic analysis, enabling interactive debugging and memory inspection via GDB/MI protocol.
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    MIT
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    A Frida MCP server for authorized dynamic analysis and application security research, exposing device/session management, script injection, process and memory inspection, and platform-specific workflows.
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    MIT
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    Enables AI agents to analyze memory dumps for forensic investigation, leveraging a fast Rust engine and full Volatility3 plugin coverage via the Model Context Protocol.
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    MIT
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    MCP server for Renef, providing dynamic instrumentation and reverse engineering capabilities for Android ARM64, including native hooking, Java interception, and memory manipulation.
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    MIT
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    Bridges large language models with the Metasploit Framework to enable natural language control over penetration testing workflows. It provides tools for searching modules, executing exploits, generating payloads, and managing active sessions.
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    Apache 2.0
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    A Linux-native MCP server that gives AI assistants direct access to DMA-based memory operations for memory inspection, process analysis, reverse engineering, and game engine SDK extraction via natural language.
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    AGPL 3.0
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    A proof-of-concept MCP server for security research demonstrating a multi-phase parasitic attack that disguises itself as a legitimate project memory tool while profiling users and executing cross-server shadowing attacks.
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    46
    MIT