🚀 CyberSec MCP Server – AI-Driven Cybersecurity Platform

🛠 Type of project

Personal project – built for open-source use in cybersecurity research, red teaming, and education.

💻 Resources Requested

• GPU – for AI agents (LLMs, threat intelligence reasoning, recon/exploit automation)
• Persistent storage – to retain recon results, exploit logs, agent configurations, and tool states

📚 Description

CyberSec MCP Server is a modular, AI-powered cybersecurity platform designed for penetration testing, purple team collaboration, and educational labs. Built using MCP (Model Context Protocol), this tool enables scalable, type-safe, and composable agent workflows.

⚙️ Live demo: Gradio-based UI hosted on Hugging Face Spaces
🧠 AI-driven tools: Customizable, pluggable tools for recon, scanning, and exploitation
🧪 Use Cases: Red teaming, student exercises, agent-based pentesting research
📦 Architecture: Python, FastAPI-style MCP backend, async lifespan management, Gradio UI frontend

✨ Features

• Modular tool registration using decorators (@mcp.tool())
• Type-safe app context lifecycle (startup/shutdown DB or scanner resources)
• Easy-to-extend tools: scan_network, run_exploit, query_db, and more
• Full Gradio frontend with tabbed interface for interacting with agents
• Open-source, community-driven roadmap

📊 Why GPU + Storage?

GPU support enables:

• Transformer-based LLMs (e.g., threat modeling via prompts, AI fuzzers)
• NLP agents for analyzing target banners, logs, or source code

Persistent storage allows:

• Saving exploit chains
• Tracking testing sessions
• Storing reports and tool outputs

🔗 Repository and Community

We plan to open the project on GitHub with Apache 2.0 or similar licensing.
Looking forward to collaborating with others interested in building secure, intelligent cybersecurity tooling!

Built by: Wh@cktheJ@cker aka Stephen de Jager (Cybersecurity student & AI hacker)
Stack: Python, MCP, Gradio, asyncio, pandas, scapy, transformers (optional)