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Alternatives to PEA MCP Server

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    • 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
      C
      maintenance
      Exposes repository reconnaissance tools — file listing and verbatim reading, regex search, dependency-tree parsing across Python/Node/Rust/Go, and test-coverage ingestion — so agents can gather line-numbered evidence from real source files. This lets an audit pipeline physically re-verify every claim and drop findings that cannot be located in the code.
      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
      B
      quality
      B
      maintenance
      Enables AI agents to run deterministic, fully local static security and compliance audits of code, configurations, and dependencies through 32 MCP tools covering 24 vulnerability categories. It also detects the project stack, generates risk reports and checklists, suggests stack-aware remediations, and re-validates fixes to confirm vulnerabilities were eliminated.
      32
      1
      MIT
    • 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
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables local AI models to perform defensive cybersecurity analysis through narrowly scoped read-only tools for host posture, Windows security operations, file/IOC triage, code scanning, and allowlisted filesystem/network access while enforcing boundaries and audit trails.
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