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Free Download Ethical häçking with Agentic AI and MCP Server
Published 1/2026
Created by Amit Agarwal
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 17 Lectures ( 2h 53m ) | Size: 2.6 GB
Build an AI-powered häçking assistant using MCP servers, OpenRouter/Ollama, and real offensive tools
What you'll learn
✓ What agentic AI really means in cybersecurity, and how it differs from simple chat-based assistants
✓ How to build an MCP server that exposes offensive tools safely and programmatically
✓ Integrating LLMs (OpenAI, OpenRouter, or local Ollama) into a häçking-focused workflow
✓ Designing a web-based chat UI that can reason, execute commands, and analyze outputs
✓ Using AI assistance effectively while solving häçk The Box and TryhäçkMe-style labs
Requirements
● None, knowing AI will help.
Description
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 häçk The Box and TryhäçkMe-style labs.
Instead of watching AI demos or copying prompts, you'll build a practical AI häçking 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 häçk The Box and TryhäçkMe-style environments giving you real world experience.
Who this course is for
■ Security professionals, pentesters, and red teamers who want to augment workflows with AI
■ CTF players and learners who want guided, explainable assistance - not blind automation
■ Developers and häçkers interested in building AI agents that interact with real systems
■ Anyone curious about agentic AI beyond hype, with hands-on offensive security examples
Homepage
Code:
https://www.udemy.com/course/ethical-häçking-with-agentic-ai-and-mcp-server/DOWNLOAD LINKS