re-triton
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@re-tritonSolve constraint for eax == 0x1337"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
re-triton
MCP server exposing the Triton library for symbolic execution, taint analysis, and constraint solving.
Tools
Tool | What it does |
| Confirm Triton is importable |
| Concrete emulation (no sym) |
| Symbolic execution through a function |
| Z3-based constraint solver |
| Taint tracking through a function |
| Solve for input that matches target bytes |
Related MCP server: re-mcp
Install
pip install -e ./servers/re-tritonThe pyproject.toml pins triton @ git+https://github.com/JonathanSalwan/Triton,
which pulls Quarkslab's binary-analysis framework directly from its source repo.
The PyPI triton package is the GPU compiler and is not what re-triton
needs. Building Triton from source requires CMake + a C++ toolchain; the install
can take a few minutes the first time.
Best-effort on Windows — if the source build doesn't install, the server
will return a clean "Triton not available" error from check_triton.
Why Triton
Triton is the easiest of the symbolic-execution frameworks to embed in a Python tool. It pairs with the capstone disassembly (which we already use in re-lief). For binary-only symbolic exec on x86/x64/AArch64, this is the right choice. For more advanced use cases (deep program analysis, complex constraints), angr is the gold standard — that's a v2 candidate.
Note on raw bytes
Triton operates on raw machine code, not files. The MCP tools accept code_b64 (base64-encoded bytes) — the caller (Claude Code, via re-rizin.disassemble_function and friends) extracts the relevant bytes from the binary.
This server cannot be deployed
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