Reverence
Related Servers
Alternatives to Reverence
No user-submitted related servers found.
Related Servers
- 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
- AlicenseBqualityBmaintenanceThis MCP server lets an agent run local binary inspection on ELF, Mach-O, PE, APK, IPA, ASAR, WebAssembly, and firmware targets — pulling symbols, sections, classified strings, disassembly, and mitigation posture, and flagging dangerous imports and CWE patterns. It exposes eight stdio JSON-RPC tools (with no external API keys) that feed a multi-agent swarm for attack-surface mapping and exploit-chain synthesis.12MIT
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to reverse-engineer binary files — hex viewing, disassembly, function/call-graph recovery, syscall and RTTI naming, string/xref search, and symbol export for Ghidra and IDA — across Switch NSO/NRO/NSP and many other formats. Tool output is persisted as annotations so analysis carries across sessions.MIT
- AlicenseNot gradedqualityCmaintenanceExposes 18 typed tools that drive real static-analysis engines (Ghidra, apktool, WABT, TShark, evmole, Rizin) over a single MCP endpoint to decompile binaries, audit APKs, scan EVM contracts, inspect WebAssembly, firmware, SQLite, and pcap data. Every call returns signed, verifiable evidence with an evidence_id, provider identity, SHA-256 artifact digest, and explicit limitations for security research, malware analysis, forensics, and CTF work.MIT
- AlicenseNot gradedqualityBmaintenanceRead-only reverse-engineering toolkit exposed as 13 MCP tools for binary triage, strings, IOC extraction, disassembly, APK/firmware/PCAP analysis, and headless Ghidra decompilation. Missing backends are reported honestly as tool_missing rather than faked.2MIT
- AlicenseNot gradedqualityBmaintenanceEnables 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.496,689 npmMIT
TDQS
Scored across 16 tools
Most tools target clearly distinct actions (pe_info vs elf_info vs macho_info, disassemble vs disassemble_entrypoint, radare2 vs ghidra_decompile). The one real overlap is `analyze`, which bundles identification, strings, and entry-point disassembly that identify_file, extract_strings, and disassemble_entrypoint also do alone, but the descriptions explicitly frame analyze as a triage entry point, which mitigates confusion.
Nearly all tools use snake_case with a predictable verb_noun or noun_info shape (identify_file, extract_strings, pe_info, wasm_info, yara_scan). Minor deviations exist: `radare2` is a bare engine name, and `capabilities`/`analyze` are bare nouns/verbs rather than following the noun_info pattern, but the set remains readable and coherent.
16 tools is reasonable for a multi-engine reverse-engineering toolkit covering several file formats and analysis techniques. Each tool maps to a distinct capability (per-format parsers, decompilers, scanners), though the count sits at the upper edge of the comfortable 3-15 range.
Strong lifecycle coverage for static binary analysis: identification, hashing/entropy, strings, hexdump, disassembly, per-format PE/ELF/Mach-O/WASM parsers, JS deobfuscation, YARA, radare2, and Ghidra decompilation. Minor gaps include no section/segment extraction or dumping and no WASM disassembly beyond metadata, but core read-only analysis workflows are well covered.