re-vtil
Lifts machine code to VTIL intermediate language and emits pseudo-C for VM handler characterization. Complements concrete execution tools with static IL analysis.
README
re-vtil
MCP server for VTIL-Core (Virtual-machine Translation Intermediate Language, MIT). The "lift, optimize, emit pseudo-C" trio for VM handler characterization.
Why
The other RE-AI MCP servers handle byte-level binary analysis (re-lief, re-rizin, re-triton). They tell you what a handler does in machine code, but not what it means in a higher-level IL.
re-vtil fills that gap. You give it a function's machine code, it lifts to VTIL's IL, you run optimization passes, and you get a pseudo-C reading. The use case is the encrypted-VM handler characterization in re-encrypted-vm-tamper — once you know which bytes are a handler, re-vtil tells you what those bytes mean.
Architecture
The Python MCP server is a thin wrapper around a C++ vtil-cli helper built by install.sh from the vendored VTIL-Core source tree:
Claude Code (MCP stdio)
│
▼
re-vtil server (Python, this directory)
│ subprocess.run(...)
▼
vtil-cli (C++ single binary, built from src/re_vtil/cpp/VtilCli/)
│
└─ VTIL-Core (vendored as a git submodule)
The subprocess boundary is intentional: VTIL is a heavy C++ library with no first-class Python bindings. Process isolation is robust; the Python server always loads in degraded mode if the C++ helper is missing.
Tools
| Tool | What it does |
|---|---|
check_vtil |
Health check — return VTIL version + supported archs |
lift_handler |
Lift machine code (base64) at a given base address to VTIL IL |
optimize |
Run VTIL optimization passes (dead-store-elim, branch-folding, mem-dep) |
emit_pseudo_c |
Emit a C-like pseudocode reading of an IL tree |
Install
./install.sh builds vtil-cli via cmake --build against the vendored VTIL-Core source tree, then copies the binary to servers/re-vtil/bin/.
To build standalone (requires VTIL-Core source + cmake):
cd servers/re-vtil/src/re_vtil/cpp/VtilCli
cmake -B build -S .
cmake --build build --config Release
cp build/vtil-cli ../../../../bin/
To run:
re-vtil # stdio transport (default for MCP)
python -m re_vtil # equivalent
Requirements
- VTIL-Core source tree (vendored as a submodule under
src/re_vtil/cpp/) - CMake ≥ 3.16
- A C++20 compiler (gcc-10+, clang-12+, MSVC 2019+)
- capstone + z3 (the C++ helper links against the same deps as
re-triton)
Degraded mode
If vtil-cli is not built, every tool returns {"status": "WARN", "error": "vtil-cli not built; run install.sh", ...}. The Python MCP server itself always loads so Claude Code can surface the install hint.
Pairing with re-triton
re-triton handles concrete + symbolic execution (Triton lifts to its own AST, evaluates with a concrete or symbolic state). re-vtil handles static IL (VTIL lifts to its own IL, runs IR-level optimization, emits pseudo-C). The two are complementary:
- Use
re-triton.solve_constraintfor "what input reaches this branch?" - Use
re-vtil.lift_handler + optimize + emit_pseudo_cfor "what does this handler do in the abstract?"
For the encrypted-VM bytecode family: re-triton.emulate_function runs the encrypted handler under concrete inputs (decryption stub triggers, handler dispatches); re-vtil.lift_handler lifts the decrypted handler body to VTIL IL for the static read.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.