0xSteph

0xSteph / pentest-ai

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The most autonomous pentesting AI on the market. MCP server + Python agents with 150+ security tools, exploit chaining, and PoC validation.

pentestai.xyz ai-security bug-bounty claude ctf cybersecurity
11
3
69% credibility
Found Apr 08, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

pentest-ai is an open-source tool that connects AI assistants to security scanning programs for automated penetration testing and report generation.

How It Works

1
🔍 Discover pentest-ai

You find a helpful tool that lets AI assistants check websites and networks for security weak spots.

2
📥 Set it up

Download and install it on your computer in just a few minutes.

3
🚀 Start the helper

Launch your security assistant and it waits ready for action.

4
🔗 Connect your AI friend

Link it to your AI chat app like Claude so they can team up.

5
🕵️ Point and scan

Tell it a website or network to check, and it runs smart tests automatically.

6
📈 Review discoveries

Watch as it finds issues, links them into attack paths, and proves them safely.

📄 Get your report

Receive a polished security report with fixes and alerts for your team.

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Star Growth

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AI-Generated Review

What is pentest-ai?

pentest-ai is an agentic AI pentest GitHub tool that runs autonomous penetration tests via a local MCP server and Python agents wielding 150+ security tools like nmap, nuclei, and BloodHound. Point it at a target with one CLI command—`pentest-ai start target.com`—and it handles recon, vuln scanning, exploit chaining across web/AD/cloud/mobile/wireless, PoC validation, and report generation with detection rules. It plugs into Claude Desktop, Cursor, or VS Code Copilot over the Model Context Protocol for AI-driven orchestration without cloud dependency.

Why is it gaining traction?

Unlike static scanners, it chains findings into real attack paths (e.g., SSRF to AWS keys to domain admin) and auto-validates with safe PoCs, standing out as the most autonomous AI pentest tool on GitHub. Built-in scanners work zero-setup, while extensibility lets you add tools easily. Early buzz comes from its one-command MCP integration with popular AI editors, slashing manual pentest grunt work.

Who should use this?

Red teamers automating recon and chaining on engagements; security engineers auditing AD/cloud infra; bug bounty hunters scanning web apps/APIs faster. Ideal for pentesters blending AI with tools like sqlmap or prowler, especially in local/offline setups.

Verdict

Promising alpha for auto pentest AI GitHub workflows (11 stars, Python as most used language here), but low 0.699999988079071% credibility score signals early-stage risks—test thoroughly before production. Grab it if you're experimenting with agentic pentest; skip for mission-critical unless you contribute.

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