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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to locally analyze and reverse engineer binaries through a compact 12-tool MCP interface for triage, function discovery, disassembly/decompilation, cross-references, strings/imports, call graphs, memory reads, annotations, and binary diffs.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to import binaries into Ghidra, trigger analysis, browse functions, symbols, strings, and imports, and read decompiled C code and disassembly via MCP tools.
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to safely fetch malware samples, run isolated headless Ghidra static analysis, and retrieve decompiled function logic, imports, and strings through callable MCP tools.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to conduct authorized mobile banking reverse engineering and security research through 50+ MCP tools spanning APK analysis, Frida instrumentation, malware detection, Play Integrity bypass detection, no-root traffic interception, and evidence reporting.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Exposes Ghidra reverse engineering capabilities via MCP, enabling LLMs and agents to analyze binaries, decompile, search, and edit programs headlessly or with GUI integration.
      446
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to take software apart over MCP — native binaries, Go/Rust/.NET assemblies, WASM and EVM bytecode, Android and Flutter apps, firmware, databases, crashes and network captures — returning findings backed by code, references and explicit unknowns. Drives deep-analysis engines such as Hopper, Ghidra, IDA, JADX and Frida entirely locally, letting agents explain behavior or rebuild a feature in your own project.
      415,576 npm
      MIT