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Heretek-RE

re-llm-decompile

by Heretek-RE
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Python
Remote

re-llm-decompile

MCP server that exposes an AI decompiler via the OpenAI-compatible /v1/chat/completions API. Works with:

  • LLM4Decompile (the End or Ref variants, or the latest SK²Decompile) served via vLLM

  • Ollama running any code model (CodeLlama, DeepSeek-Coder, Qwen2.5-Coder, etc.)

  • Any other OpenAI-compatible endpoint

The server does not read files itself. The caller (Claude Code) is expected to obtain the disassembly with re-rizin.disassemble_function and pass it in. The server's job is to take the disassembly, optionally the raw bytes, and produce C-like pseudocode.

Tools

Tool

What it does

check_endpoint

Hit /v1/models, return the list of available models

decompile_function

Send disassembly to the LLM, return C-like pseudocode

explain_function

Have the LLM explain disassembly (no rewrite)

rename_variables

Have the LLM propose better names for compiler-generated symbols

summarize_binary

Whole-binary summary from strings + imports + entry-point disasm

Related MCP server: cutterMCP

Configuration

Env var

Default

Purpose

LLM_DECOMPILE_ENDPOINT

http://localhost:11434/v1

OpenAI-compatible base URL

LLM_DECOMPILE_MODEL

llm4decompile

Model name to request

LLM_DECOMPILE_API_KEY

(empty)

API key (use sk-... for OpenAI; empty for Ollama)

Install

This server is part of the RE-AI plugin. The plugin's install.sh / install.bat installs it as part of the standard flow.

To install standalone:

pip install -e ./servers/re-llm-decompile

Run

re-llm-decompile                  # stdio transport (default for MCP)
python -m re_llm_decompile        # equivalent

Usage pattern (in Claude Code)

1. "Decompile main in /bin/ls"
2. Claude calls re-rizin.analyze_function  →  function list
3. Claude calls re-rizin.disassemble_function(name="main")  →  asm
4. Claude calls re-llm-decompile.decompile_function(asm=..., arch="x86_64")
5. Claude returns the C-like pseudocode to the user

Choosing a model

  • LLM4Decompile 22B (Ref): best quality for Linux x86_64 binaries, requires ~44GB VRAM (or AWQ/GPTQ quantizations).

  • LLM4Decompile 6.7B (Ref): a good middle ground, ~14GB VRAM.

  • Ollama + Qwen2.5-Coder 7B: reasonable general-purpose code model. Quality is lower than LLM4Decompile for pure binary decompilation but it explains disassembly well.

  • Claude / GPT (via this server): not recommended — the prompt is tuned for open decompilation models. If you want to use Claude, call it directly through Claude Code rather than going through this server.

Deprecation note

The v1 re-ai repo did not have this server — it tried to decompile with pefile+capstone+llm prompts in its own agent loop. That is exactly the kind of thing Claude Code is good at. This server exists to give Claude Code a clean decompilation handle.

This server cannot be installed

A
license - permissive license
-
quality - not tested
C
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

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