rekit

Read-only reverse-engineering toolkit — CLI and MCP server.

rekit gives a terminal — and any MCP-speaking AI agent — a single safe front-end for static analysis: file triage, strings, IOC extraction, disassembly, APK/DEX, firmware images, JS bundles, PCAPs and headless Ghidra decompilation. It never executes a sample, and it never invents a result.

Subcommands

Related MCP server: Antardrishti

Install

git clone https://github.com/Amz34/rekit.git && cd rekit
python3 rekit.py --help            # pure-stdlib CLI, no install needed
pip install -r requirements-mcp.txt   # only for the MCP server

Optional backends unlock the matching subcommands:

sudo apt-get install binutils radare2 binwalk tshark yara   # base set
pip install lief capstone androguard                        # richer parsing
# jadx / capa / floss / Ghidra: see their own install docs

Optional Python bindings are imported lazily — if they are absent, the subcommand still runs with the fallback backend or reports tool_missing.

Docker

The image speaks MCP over stdio, so any client can spawn it directly — this is also the container Glama builds and introspects:

docker build -t rekit .
printf '%s\n' \
  '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"local","version":"1"}}}' \
  '{"jsonrpc":"2.0","method":"notifications/initialized"}' \
  '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}' | docker run -i --rm rekit

The server itself needs only Python and the pinned mcp package (requirements-mcp.txt, mcp>=1.0,<2 — the transport API it uses is 1.x). The analysis backends stay out of the default image; --build-arg REKIT_FULL_TOOLCHAIN=1 bakes in binutils, radare2, binwalk, tshark, yara and flare-floss. A backend that is not installed is reported as tool_missing, never guessed.

Usage

# triage a binary (JSON on every subcommand)
rekit triage /usr/bin/ls
# -> sha256, size_bytes, kind, arch, sections, entropy, packer hints

# strings, with an "interesting" bucket (URLs / keys / paths / JWTs)
rekit strings /usr/bin/ls | head

# extract indicators you can pivot on
rekit iocs sample.bin
# -> {"urls": [...], "ips": [...], "domains": [...], "jwts": [...], ...}

# disassemble a range, or a whole function
rekit disasm sample.bin --offset 0x1000 --length 64

# decompile with headless Ghidra
rekit ghidra ./sample.bin --preview 4000

Real output from the headless decompiler (aarch64 ELF, Ghidra 12.1.4, 356 lines of C written to sample.bin.decompiled.c):

186:int add(int a,int b)
197:/* ==== secret_check @ 001007f8 ==== */
199:int secret_check(char *s)
217:int main(int argc,char **argv)

MCP server

mcp_server.py exposes the toolkit over MCP so an agent can call triage/strings/disasm/ Ghidra directly instead of shelling out. 13 tools:

re_health, re_triage, re_strings, re_iocs, re_disasm, re_apk, re_firmware, re_js, re_pcap, re_ghidra_decompile, re_capa, re_floss, re_yara

Every tool is read-only: paths are validated inside REKIT_WORK, outputs are size-capped and truncated with a truncated: true flag, and a missing backend returns tool_missing rather than an error-free lie.

stdio (Claude Code, Codex, Cursor, opencode — anything that spawns a command):

{ "mcpServers": { "rekit": { "command": "/path/to/rekit/mcp-stdio.sh" } } }

streamable HTTP:

python3 mcp_server.py --http --host 127.0.0.1 --port 8798   # endpoint: /mcp

Environment: REKIT_BIN (path to rekit.py), REKIT_WORK (job dir, default ~/rekit/work), REKIT_MAX_BYTES (default 3 GiB), REKIT_TIMEOUT (default 1800 s), REKIT_GHIDRA_SCRIPTS (where the bundled Ghidra scripts live).

Ghidra setup (optional)

export GHIDRA_INSTALL_DIR=/opt/ghidra_12.1.4_PUBLIC   # or anywhere analyzeHeadless lives
export JAVA_HOME=/usr/lib/jvm/java-21-openjdk-arm64   # auto-detected if unset
rekit ghidra ./sample.bin

rekit ghidra writes <name>.decompiled.c and reports rc, c_lines and the tail of Ghidra's log, so a failed decompile is visible instead of looking empty. The bundled ghidra/DecompileAll.java and ghidra/ListFunctions.java are used automatically.

Two hard-won details: Ghidra requires an absolute project path, and it rejects any path element starting with a dot — so the default project dir is ~/rekit/ghidra_proj, not ~/.rekit/... (passing a dotted path now fails with a clear message instead of a Ghidra stack trace).

Verified on

Full audit - method, evidence and known gaps - is in docs/verification.md.

On a host without the optional PE/APK fixtures or Ghidra, the same suite reports 12 pass / 4 skip, naming each missing input - a skip is never counted as a pass.

The stack

rekit is the CLI/MCP layer. The optional agentic layer sits on the same Ghidra install:

• docs/stack.md - the three layers and when to use which.

• rea/README.md - run REA as a second MCP server next to rekit.

• rea/agentic-re-map.md - machine-readable map of all 125 REA tools, grouped by intent, with the golden chain and invariants. Regenerate it with python3 rea/dump_tools.py && python3 rea/make_map.py.

• docs/ghidra-arm64.md - the native aarch64 decompiler: why the release does not ship it, how to build it, and how to verify the ELF.

Scope

Static analysis only. rekit does not run a sample, does not emulate it, and does not detonate it — dynamic analysis belongs in a separate, network-isolated lane. If a backend is missing the subcommand says so; it never substitutes a guess for a finding.

License

MIT — see LICENSE.

Try it in one line:

git clone https://github.com/Amz34/rekit.git && cd rekit && python3 rekit.py triage /bin/ls --json

If it saves you time, a star helps others find it. Run the suite on your own host first - if a lane reports tool_missing, or a check you expected is silently skipped, open an issue with the suite log: the 16 checks above are the checklist.

Part of my always-on agent stack · Awesome Agent Infrastructure (135 live-checked building blocks).