halilkirazkaya

halilkirazkaya / pentester-mcp

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Elevate your AI assistants (like Claude & Cursor) into autonomous cybersecurity experts. Pentester-MCP integrates 200+ pentesting tools via the Model Context Protocol (MCP) using a secure Docker sandbox.

ai-agent cybersecurity cybersecurity-tools docker mcp
11
4
69% credibility
Found Mar 30, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Pentester-MCP enables AI assistants to run over 200 open-source penetration testing tools in a secure Docker sandbox for ethical security assessments.

How It Works

1
🔍 Discover a smart security helper

You hear about a tool that lets your AI friend safely test websites for weaknesses, like a virtual security guard.

2
📥 Get the safe testing box ready

Download the package and start its secure playground with a simple button press—no mess on your computer.

3
⭐ Pick your testing toolkit

Choose a ready-made set of tools, like ones for checking websites, and connect it to your AI buddy.

4
🤖 Tell your AI to explore

Ask your AI to scan a practice site it owns, and watch it use the tools automatically.

5
📊 Review the findings

Your AI shares a clear report of what it discovered, all safely contained.

✅ Master secure testing

Now your AI can help you find issues ethically, like a pro security team!

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Star Growth

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AI-Generated Review

What is pentester-mcp?

Pentester-MCP turns AI assistants like Claude and Cursor into autonomous cybersecurity pros by integrating 200+ pentesting tools over the Model Context Protocol (MCP). It runs everything in a secure Docker sandbox, so your host stays clean while the AI handles recon, web exploits, AD attacks, and more. Python-powered with ready configs for quick setup in tools like Claude Desktop.

Why is it gaining traction?

It stands out by letting AI chain tools intelligently—scan with nmap, then ffuf web dirs—without you typing commands, all via MCP pentester servers. Categorized configs (recon, web, passwords) dodge context limits, and Docker isolation elevates virtual assistants safely. Devs dig the cheat-sheet docs that teach AI tool syntax on the fly.

Who should use this?

Red teamers automating pentests with Claude or Cursor, especially for elevate github workflows like subdomain enum or AD pathfinding. Bug bounty hunters chaining 200+ tools autonomously, or cybersecurity trainers simulating attacks without manual scripting.

Verdict

Promising for AI-driven pentesting, but 11 stars and 0.7% credibility score signal early maturity—test in isolated envs first. Solid docs and Docker make it a low-risk experiment if you're into pentest MCP servers.

(187 words)

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