Automatic penetration testing with artificial intelligence
VulnClaw automates penetration testing processes using AI agents and the Model Context Protocol toolchain. The tool processes natural language commands and performs end-to-end information collection, vulnerability scanning, exploitation and reporting steps.
Updates
- August 9, 2026: Stars 2,575 → 2,646, latest release v0.3.8 (August 9, 2026).
- August 6, 2026: Stars 2,425 → 2,575, latest release v0.3.7 (August 4, 2026).
- August 2, 2026: Stars 1,313 → 2,425, latest release v0.3.6 (July 25, 2026).
What you get
- End-to-end penetration testing with natural language commands
- Targeted autonomous security scanning
- Automatic reporting and Python PoC generation
Installation
pip install vulnclawgit clone https://github.com/Unclecheng-li/VulnClaw.git
cd VulnClaw
pip install -e .Running it
vulnclawvulnclaw run <target>If you don't write code
You are a penetration tester. Using the VulnClaw tool, collect information on the target system, perform vulnerability scanning and exploitation steps. Use the target-oriented solve engine while performing the operations, verify your findings and create a structured report and Python-based PoC code at the end of the process. At each stage, proceed based on the real data you obtain and avoid assumptions.
Repository: https://github.com/Unclecheng-li/VulnClaw. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-30: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.