Ethical Hacking with Agentic AI and MCP Server

This course teaches you how to build and use an agentic AI system for offensive security — an AI that doesn’t just chat, but plans, executes, and iterates during real-world security challenges.

You’ll learn how to design a custom web UI, connect large language models (OpenAI, OpenRouter, or local Ollama), and expose real offensive tools through an MCP (Model Context Protocol) server. The result is an AI-assisted workflow that can help analyze targets, run commands, reason about outputs, and guide exploitation during Hack The Box and TryHackMe–style labs.

Instead of watching AI demos or copying prompts, you’ll build a practical AI hacking copilot: controlled, auditable, and grounded in real command execution. This course focuses on architecture, tooling, and decision-making — not magic prompts or hype.

By the end, you’ll understand what agentic AI actually means in security, how to build it yourself, and how to use it responsibly to accelerate learning and offensive workflows.

The course also includes two complete, hands-on demonstrations where we solve real lab machines step by step. These practical walkthroughs show how the agent reasons, executes tools through the MCP server, analyzes results, and adapts its strategy in realistic Hack The Box and TryHackMe–style environments giving you real world experience.