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REA: Reverse Engineer Anything. This is an unofficial Python port of morluto/rea. The original project is a TypeScript implementation. This port exists because our Python-based AI agent products (aacode, fastclaw) need a native Python integration. Not endorsed by the original authors.

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rea-python(rea-mcp)

Reverse engineer anything from your terminal or agent — one CLI and one MCP server.

Attribution and disclaimer

This is an unofficial Python port of morluto/rea. The original project is a TypeScript implementation. This port exists because our Python-based AI agent products (aacode, fastclaw) need a native Python integration. Not affiliated with or endorsed by the original authors. Licensed under MIT.

See DISCLAIMER.md for responsible-use guidance and THIRD_PARTY_NOTICES.md for dependency and tool notices.

Lawful use

The project's position on illegal or unauthorized use covers all REA versions, distribution channels, and platforms; each copy retains its applicable licenses.

REA is for lawful research, education, interoperability, software preservation, and analysis of software you own or are authorized to examine.

Commercial tools

You must legally obtain and be authorized to use commercial tools, including IDA Pro / Hex-Rays decompilers, Hopper, and JEB, under their applicable licenses. REA grants no tool license, key, or activation entitlement. Trials and demos remain subject to vendor terms, including user, feature, automation, and output sharing restrictions. Cracked copies, stolen keys, unauthorized key sharing, and bypassing license restrictions are not authorized. This guidance does not amend MIT or third-party licenses.

Deep-engine configuration

Engine Configure Notes
IDA REA_IDA_MCP_CONFIG (an ida-pro-mcp registration JSON), or REA_IDA_MCP_URL / REA_IDA_MCP_COMMAND Speaks MCP over stdio or streamable HTTP
JEB REA_JEB_MCP_URL (default http://127.0.0.1:8425/mcp) MCP streamable HTTP
Hopper REA_HOPPER_BRIDGE (socket) and REA_HOPPER_BRIDGE_TOKEN (run token) Run bridge/hopper_bridge.py inside Hopper
Kuna REA_KUNA_COMMAND (absolute path), optional REA_KUNA_TIMEOUT_MS Invokes kuna decompile ...
Ghidra GHIDRA_INSTALL_DIR, JAVA_HOME; optional REA_GHIDRA_BRIDGE=pyhidra|pyghidra Auto-selects pyhidra (≤11.3) or pyghidra (≥11.4)
Frida Attach by PID/process name; --spawn --allow-execute to launch Needs task_for_pid permission
macOS UI automation --allow-ui Needs Accessibility permission

rea-python is a provider-neutral reverse-engineering engine that returns traceable, evidence-carrying, reusable results, exposed through a shared CLI and MCP (Model Context Protocol) server. Its design follows the ideas behind morluto/rea, including the Evidence model: every result carries its identity, confidence, authority, limitations, and unresolved unknowns, so an AI agent (or a person) can reason honestly instead of trusting a bare answer.

Status: alpha (0.1.7) — full original CLI/MCP surface (169 tool names, 153 CLI commands) with built-in static providers, the Evidence model, snapshot caching, deep-engine adapters, workflow/evidence tools, and gated runtime observation.

Upstream sync

rea-python tracks morluto/rea. As of 0.1.7 it matches the 6.7.0 tool surface (169 MCP tools, 153 CLI commands) and adopts these 6.6/6.7 behaviors:

  • Apktool localized string tables: repeatable --locales, --locale, --string-tables-only
  • JADX whole-operation deadline: REA_JADX_OPERATION_TIMEOUT_MS
  • Setup merges into existing JSON/JSONC client configs instead of overwriting unrelated servers
  • Ghidra bridge auto-selection: pyhidra (Ghidra ≤11.3) or pyghidra (Ghidra ≥11.4), with --language/--compiler
  • Kuna multi-operation provider: procedures, strings, xrefs, pseudocode, callers/callees, assembly via project export, with inventory/string caching
  • Retained analysis views: environment-manifest, javascript-facts, javascript
  • Prompt process cancellation with partial output; ASAR integrity observations; DMG inspection and read-only extraction
  • Universal (fat) Mach-O inspection, code-signature metadata, and address-mapped byte tools

Known depth gaps vs upstream: full Kuna project-export reuse, Electron inspector/listener-ownership refinements, and exact upstream raw-image preparation semantics.

What you can analyze

Target What rea-mcp returns Requires
ELF / PE / Mach-O Sections, segments, entrypoint, symbols, exports/imports, mitigations built-in
Go binaries Embedded compiler version, modules, replacements, build settings built-in
Rust binaries cargo-auditable dependency inventory and edges built-in
.NET assemblies PE/CLI metadata, member names, per-method IL disassembly built-in
SQLite databases Tables, columns, indexes, views, triggers built-in
Zip / tar / ASAR packages File inventory and digests built-in
Android APK Zip inventory, DEX headers, manifest package facts built-in
Android deep apktool resources/smali, JADX class/APK decompilation apktool / JADX + JRE
Android device Devices, packages, package dumps, bounded shell adb + device
Flutter apps Dart AOT snapshot fingerprint and URI counts per ABI built-in
WASM modules Validation, sections, decoded WAT built-in (WAT needs WABT)
Property lists XML/binary plist and NSKeyedArchiver inventory built-in
HarmonyOS HAP Package facts and entry hashes built-in
JavaScript / Electron Module graph and IPC boundaries (directory or ASAR) built-in
PE resources Resource types and counts built-in
Reference source Source-tree inventory: files, sizes, digests, languages built-in
EVM bytecode Dispatch selectors, arguments, mutability evmole
Network captures HAR/SAZ requests, hosts, status built-in
Live traffic Capture through a proxy mitmproxy
Saved captures (pcap) Packet fields, endpoints, DNS queries built-in (tshark enriches)
Firmware images Region/signature scan built-in (binwalk enriches)
Web runtime Page DOM, scripts, event handlers, screenshots, scenarios playwright + Chromium
Electron / JS runtime CDP targets, pages, runtime reconciliation CDP endpoint
Debug sessions GDB batch console, Rizin debug, Cutter bridge gdb / rizin / Cutter bridge
Native proxy Navigation, comments, names, procedures, xrefs Rizin
Android deep JADX class/method/reference search JADX + JRE
Workflows Call graph/path, feature trace, bundle and capture diffs built-in
Mach-O signatures CodeDirectory, CDHash, team/identifier, entitlements built-in
Byte tools Address-mapped reads and byte-pattern search built-in
Application graphs Android components/permissions, Apple bundles, Harmony abilities built-in
Digital signals (VCD) Signal inventory and 8N1 UART decode built-in
Crash dumps GDB/pwndbg register and backtrace summary built-in
Apple bundles Entitlements, keyed archive, Interface Builder, asset catalog built-in
Electron apps Fuse-wire security posture built-in
Reconstruction Obligation ledger and coverage evaluation built-in
Native disassembly File/section headers objdump
Deep native analysis Overview, functions, pseudocode, xrefs, search Rizin (rzpipe)
Ghidra Functions and pseudocode pyhidra (Ghidra ≤11.3) or pyghidra (Ghidra ≥11.4) + JDK
Hopper Overview, functions, pseudocode, xrefs Hopper + bridge/hopper_bridge.py
IDA / JEB Overview, functions, pseudocode, xrefs over HTTP REA_IDA_MCP_URL / REA_JEB_MCP_URL
Frida Devices, applications, processes frida
Browser Page observation playwright + REA_BROWSER_EXECUTABLE
CDP runtime (Chrome/Electron) Target inventory, live network metadata built-in HTTP (websocket-client for capture)
Recorded crashes Register/signal extraction REA_PWNTOOLS_PYTHON + pwntools

External-tool providers are caller-supplied: rea-mcp never installs them and reports an actionable reason when one is missing (rea-mcp doctor). Cross-cutting tools: compare / compare-network-captures / compare-web-captures / compare-managed-members (target and Evidence diffs), build-reconstruction-obligation-ledger / evaluate-reconstruction-coverage (reconstruction), capture-process (bounded runtime capture), doctor (readiness), setup (client registration, plus --write-all and --install-skill), update, and evidence-export / evidence-import / inspect-analysis-view (portable Evidence).

All analysis runs locally. rea-mcp never uploads your target.

Client schema profiles

Tool schemas can be projected per client to fit hosts with small frame or schema limits. Set REA_MCP_CLIENT to a preset (generic, claude, cursor, opencode, vscode/code, zed, minimal), or override with REA_MCP_INPUT_SCHEMA_PROFILE (full/compact) and REA_MCP_OUTPUT_SCHEMA_PROFILE (full/off). rea-mcp schema-matrix prints the full matrix; REA_MCP_COMPACT_BUDGET_BYTES caps a single compacted schema.

Quick start

pip install rea-mcp             # PyPI distribution name is "rea-mcp"
rea-mcp --help                  # "rea" and "rea-python" are installed as alias commands too
rea-mcp inspect-binary-layout /path/to/program --json

As an MCP server (stdio) — rea-mcp, rea, and rea-python are interchangeable, as are python -m rea_mcp, python -m rea, and python -m rea_python:

rea-mcp mcp     # or: rea mcp   |   rea-python mcp
rea mcp

Output is JSON by default; a bare --json flag is accepted (before or after the command) for compatibility.

Readiness and client setup

rea-mcp doctor          # providers, external tools, effective timeouts
rea-mcp setup           # print the MCP client registration plan
rea-mcp setup --write <client-config.json>   # merge into an existing JSON/JSONC config
rea-mcp setup --install-skill <dir>          # install the bundled agent skill

doctor lists each provider, its operations, and why an optional engine is unavailable. It does not install anything.

Response budgets

MCP results are capped at 512 KiB by default (REA_MCP_MAX_RESPONSE_BYTES). Oversized analysis results are retained as Evidence and returned as a compact summary with an evidence_reference; use evidence-export, inspect-analysis-view --view record --evidence-id <id>, or get-evidence-bundle --full for the complete data. inspect-analysis-view, inspect-artifact, inspect-managed-members, inspect-network-capture, inspect-android-package, inspect-android-class, inspect-android-method, decompile-android-apk, decompile-android-class, and analyze-javascript-application page with --offset/--limit (JavaScript also has --module-offset/--edge-offset). Decompilers return a summary-sized preview by default; --max-bytes changes the limit and the full text remains in Evidence. batch-decompile caps pseudocode at 64 KiB per function (--max-bytes-per-function 0 disables the cap). Captured web response bodies are capped at 32 KiB each and 512 KiB total; observe-web-execution --bodies --retain-bodies keeps the complete bodies in Evidence (up to 8 MiB) while returning bounded previews.

Import names

The implementation package is rea_mcp. Compatibility aliases make import rea and import rea_python resolve to the same module objects, so all three import paths are interchangeable:

import rea_mcp  # implementation
import rea  # alias, same objects
import rea_python  # alias, same objects

Design principles

  1. Dependencies flow inward: domain → contracts → providers → application → cli/mcp.
  2. Evidence first: observations, derivations, inferences, and unknowns are distinguished.
  3. Ownership and cleanup: resources are only cleaned by their owner; failures stay explicit.
  4. Token-first performance: summaries, paging, and retained evidence keep agent context small.

Development

python -m venv .venv && . .venv/bin/activate
pip install -e ".[dev]"
pytest
ruff check .
mypy

License

MIT. rea-mcp is an independent, unofficial Python port; it is not affiliated with or endorsed by the authors of REA. See LICENSE and DISCLAIMER.md.

About

REA: Reverse Engineer Anything. This is an unofficial Python port of morluto/rea. The original project is a TypeScript implementation. This port exists because our Python-based AI agent products (aacode, fastclaw) need a native Python integration. Not endorsed by the original authors.

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