by Kyze-Labs · MCP Server · ★ 65
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DVMCP — Damn Vulnerable MCP An intentionally vulnerable Model Context Protocol server for security training. Think DVWA but for MCP/AI agent security. DVMCP is a self-contained training platform for learning how to attack and defend AI agents that use the Model Context Protocol. It simulates a fictional company (NovaTech Solutions) with 6 departments, 28 vulnerable tools, and 38 challenges across 4 difficulty levels. WARNING: This is intentionally vulnerable software. Do NOT deploy in production. All data is fake. Table of Contents Prerequisites Quick Start Local Installation Docker MCP Inspector MCP Host Configuration Architecture Vulnerability Categories Challenges Difficulty Levels Fake Data Project Structure Troubleshooting Contributing License Disclaimer Prerequisites Python 3.11+ pip (included with Python) Docker & Docker Compose (optional, for containerized setup)
| Stars | 65 |
| Forks | 7 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 68.733399454543/100 |
| Last Updated | 2026-04-01 |
| Created | 2026-03-12 |
| Platforms | mcp, python |
| Est. Tokens | ~8k |
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damn-vulnerable-MCP-Server is Damn Vulnerable MCP Server Project. It is categorized as a MCP Server with 65 GitHub stars.
damn-vulnerable-MCP-Server is primarily written in Python.
You can find installation instructions and usage details in the damn-vulnerable-MCP-Server GitHub repository at github.com/Kyze-Labs/damn-vulnerable-MCP-Server. The project has 65 stars and 7 forks, indicating an active community.