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Debug binaries and analyze exploits with stateful GDB and pwndbg workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pwno-mcp" yet — see the docs or source repo.
Use pwno-mcp to attach to the target binary, run it, and after the crash collect registers, stack backtrace, and key memory details. Determine the exact cause of the segmentation fault and suggest next debugging steps.
A crash analysis report with the fault location, call stack, suspicious variables or input, and recommended next debugging steps.
Use pwno-mcp to research this ELF binary: inspect mitigations, locate a possible stack overflow, verify the offset, and explain whether the return address can be controlled to form an exploitable path.
An exploitability analysis covering mitigation status, overflow point, overwrite offset, control-flow reachability, and a possible exploitation approach.
Use pwno-mcp to build a reproducible debugging workflow: set breakpoints and capture key state in the first session, then restore context in later sessions to verify trigger conditions and exploit reliability.
A reusable debugging record including breakpoint setup, state snapshots, reproduction steps, and conclusions about exploit reliability.
Use AI to debug Pwn challenges via remote GDB and CTF services.
Use AI to run WinDbg kernel debugging commands and inspect results.
Use an enhanced GDB MCP server for remote debugging and CTF exploitation.
Connect AI to WinDbg for debugging, crash analysis, and issue diagnosis.
Debug Python with natural language, tests, breakpoints, and variable inspection.
Lets AI agents debug native programs via GDB sessions and commands.