omni-reverse
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- AlicenseNot gradedqualityCmaintenanceEnables 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.1MIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables AI agents to inspect and reverse-engineer native binaries, JavaScript/Electron apps, Go and Rust binaries, WASM, EVM bytecode, SQLite databases, and recorded crashes through a single MCP interface that bridges tools such as Ghidra, Frida, Hopper, binwalk, and jadx. Returns evidence-backed findings—pseudocode, symbols, strings, imports, routes, IPC boundaries—so agents can explain behavior and build similar features.MIT
- AlicenseAqualityCmaintenanceEnables AI coding assistants to inspect ELF, PE, and Mach-O binaries for hardening mitigations and high-risk symbols, and to triage source or decompiled code against MITRE CWE patterns through MCP tools.3MIT
- AlicenseNot gradedqualityBmaintenanceEnables 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
- AlicenseNot gradedqualityBmaintenanceEnables 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
- AlicenseNot gradedqualityCmaintenanceEnables 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.467,636 npmMIT
TDQS
Scored across 17 tools
Several tools overlap heavily around the core reverse-engineering workflow: omni_triage_target, omni_auto_orchestrate, omni_deep_reverse, and omni_inspect_symbol all perform detection, disassembly, decompilation, or unpacking to varying degrees. omni_inspect_symbol is an especially broad catch-all that duplicates capabilities also exposed by omni_dynamic_probe, omni_symbolic_protocol, omni_advanced_native, and omni_patch_cfg_memory, making tool selection ambiguous for an agent.
All tool names use the same omni_ prefix and snake_case convention, giving the set a predictable visual pattern. The suffixes mix verb_noun and descriptive noun phrases rather than following a strict verb_noun scheme, but the naming remains readable and mostly consistent.
Seventeen tools is slightly heavy for a typical MCP surface, though the broad reverse-engineering domain can justify a larger set. The bigger issue is granularity: many entries are mega-tools bundling multiple unrelated capabilities, so the count feels less intentionally scoped than it could be.
The surface covers a wide reverse-engineering lifecycle: triage, static and dynamic analysis, mobile and native targets, unpacking, symbolic solving, patching, memory scanning, session management, and annotation export. Minor gaps exist around explicit reporting or guided format discovery, but the core domain is well covered.