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    • A
      license
      Not graded
      quality
      Not graded
      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.
      231,579 npm
      MIT
    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables AI clients to inspect local software structure, code, and runtime behavior through evidence-backed analysis, including sources, coverage, and limitations.
      MIT
    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables agents to reverse-engineer software across native binaries, managed code, Electron apps, websites, and live runtime behavior, returning findings linked to the evidence and limitations behind each conclusion. It also maintains a durable workspace where those behaviors can be inspected, questioned, compared against real execution, and exported as runnable handoffs.
      231,579 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to inspect and reverse engineer native binaries, JavaScript/Electron applications, .NET assemblies, websites, and runtime behavior, returning evidence-backed findings that can be explained, implemented, or tested.
      231,579 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Exposes read-only local analysis tools for source auditing, web traffic review, binary reverse engineering, exploit scaffolding, OSINT, and reporting via JSON-RPC over stdio, enabling LLMs to orchestrate evidence-based security workflows without executing targets or sending network requests.
      1
      MIT