rfunix

rfunix / tengu

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AI-powered penetration testing MCP server

10
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100% credibility
Found Mar 03, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Tengu is a tool that connects AI assistants like Claude to dozens of security scanning programs for guided penetration testing with built-in safety limits and reporting.

How It Works

1
🔍 Discover Tengu

You hear about Tengu, a helpful tool that lets an AI like Claude safely check websites and networks for security issues, perfect for learning or authorized testing.

2
🛠️ Set it up easily

With one simple command, you launch it using ready-made packages that include safe practice targets to try it out.

3
🤖 Connect your AI assistant

Link it to Claude so the AI can understand and use the security checking tools automatically.

4
🧪 Run your first security check

Tell Claude to scan a safe practice website, and watch as it smartly picks the right checks and runs them step by step.

5
📈 Review the discoveries

Claude shows you what it found, like open doors or weak spots, explaining everything simply.

📊 Get your security report

Receive a polished report with findings, risks, and fixes, ready to share or act on safely.

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AI-Generated Review

What is tengu?

Tengu is a Python MCP server that wires Claude AI into 63 pentesting tools like Nmap, Nuclei, SQLMap, and Metasploit, turning it into an ai-powered penetration testing assistant. You chat with Claude via Desktop or Code, it orchestrates scans, correlates findings, and generates reports—all with safety nets like target allowlists, rate limiting, and human gates for exploits. Docker tiers (minimal to full) and make commands spin up labs or production setups in minutes.

Why is it gaining traction?

Unlike PentestGPT or standalone ai-powered penetration testing tools, tengu leverages MCP for seamless Claude integration, plus 34 workflow prompts for AD, API, or full PTES runs. The autonomous agent mode handles recon-to-report autonomously, while built-in resources like OWASP Top 10 and MITRE ATT&CK give context without tab-switching. It's catnip for devs building ai-powered projects github-style, blending hacker-ai-powered penetration testing with real safety.

Who should use this?

Red teamers automating blackbox pentests, bug bounty hunters chaining recon tools, and security students practicing on Juice Shop/DVWA labs. Perfect for pentesters who use Claude daily and want an ai-powered penetration testing platform to offload boilerplate scanning without losing control.

Verdict

Promising ai-powered penetration testing toolkit at v0.2.1 with 10 stars and 1.0% credibility score—docs shine, tests cover 1900+ cases, but low adoption means tweak configs for edge cases. Docker-first setup lowers barriers; try the lab profile if you're evaluating ai-powered github tools.

(198 words)

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