Kyze-Labs

Kyze-Labs / damn-vulnerable-MCP-Server

Public

Damn Vulnerable MCP Server Project

26
2
100% credibility
Found Mar 16, 2026 at 26 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

An intentionally vulnerable server simulating a company's departments and tools via the Model Context Protocol for hands-on AI agent security training with 38 challenges across four difficulty levels.

How It Works

1
🔍 Discover the training playground

You find this fun security training tool online, like a game for learning how to spot weaknesses in AI helpers working with company tools.

2
💻 Set it up on your computer

With a simple download and quick setup, you get the fake company environment running locally in minutes.

3
🚀 Launch the company simulator

You start the server, picking a department like HR or Engineering and a difficulty like beginner to begin training.

4
📊 Open the web dashboard

A friendly webpage shows all 38 challenges grouped by skill level, with stories, hints, and your progress tracker.

5
🤖 Connect your AI and attack

Link your AI assistant to the simulator and watch it explore vulnerable tools, trying clever tricks to 'break in' safely.

6
📈 Capture the sneaky data thefts

Check the listener page to see what 'stolen' fake info your AI sneaks out, proving the challenge success.

🏆 Master AI security skills

You complete challenges across levels, earning points, and gain real know-how on protecting AI agents from real-world tricks.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 26 to 26 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is damn-vulnerable-MCP-Server?

This Python project runs an intentionally vulnerable Model Context Protocol (MCP) server for security training, mimicking Damn Vulnerable Web Application (DVWA) or Damn Vulnerable API but targeted at AI agents. It simulates NovaTech Solutions, a fictional company with six departments offering 28 tools across HR, engineering, finance, and more, plus 38 challenges spanning beginner SQL injection to expert side-channel exfil. Spin it up via Docker Compose or pip install -e ., connect to MCP clients like Claude Desktop or Cursor, and tackle vulnerabilities through a web dashboard at localhost:8080 or exfil listener at :9999.

Why is it gaining traction?

Unlike generic vuln environments like Damn Vulnerable Linux or Damn Vulnerable DeFi, this nails MCP-specific attacks like prompt injection, tool poisoning, and cross-origin abuse in a realistic enterprise setup. Mechanical difficulty levels (beginner to expert) dynamically harden tools—blocking DROP statements or adding rate limits—making progression feel earned without manual tweaks. Docker services for departments enable multi-tool chains, and the seeded SQLite DB with fake PII keeps sessions replayable.

Who should use this?

AI security researchers probing agent exploits, MCP server devs hardening against confused deputy attacks, or red teams practicing kill chains on tools like Claude or Cursor. Pentesting shops training juniors on emerging damn vulnerable MCP scenarios, or compliance teams simulating SOC 2 breaches via GitHub Damn Vulnerable MCP.

Verdict

Grab it for MCP pentesting—solid docs, Docker-ready, and 38 progressive challenges beat toy examples, despite 26 stars and 1.0% credibility signaling early days. Test locally before production training; contribute challenges to boost maturity.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.