Description
Hacking MCP Servers: Offensive Security for AI Tooling. This course examines offensive security for AI tooling and how to identify and exploit vulnerabilities in Model Context Protocol (MCP) servers. AI systems are no longer simple, passive chatbots. Modern AI agents can read files, invoke tools, execute code, and communicate directly with internal systems and infrastructure. This fundamental shift has completely transformed the security model, creating a new level of vulnerabilities and attack points that most organizations are ill-prepared to defend against. Model Context Protocol is quickly becoming the standard interface that allows AI agents to discover tools, access resources, and perform various operations. While it offers powerful capabilities, it also creates new trust boundaries that traditional software security approaches cannot cover. This hands-on course is designed to fill exactly this security gap. Learners learn how the protocol works at the transport layer, how AI agents reason about tools, and where real-world implementations are flawed. From here, the course moves on to advanced attack techniques, such as enumerating the protocol’s servers, exploiting compromised tools, exploiting over-trusted resources, chaining capabilities, and breaking security assumptions in weak deployments. This is not a scripted course at all, but rather focuses on infrastructure security for AI systems, so that participants can act like real-world red teams. Learners learn how to attack model-based protocol servers, identify insecure patterns, and design servers that are resilient to real-world attackers. The course utilizes a dedicated vulnerability lab environment so participants can safely practice exploitation and defense techniques. Ultimately, this course is a great option for those who want to better understand how AI systems fail in the real world and how attackers can exploit them.
What you will learn
- Understanding protocol internals: Learning how the internal structure of the model context protocol and its transmission mechanisms work.
- Server Counting: Mastering how attackers identify and count servers for this protocol.
- Tool exploitation: Misuse of insecure tools and resources available in AI systems.
- Token theft and validation flaws: Identify and fix vulnerabilities related to tokens and validation.
- Offensive and defensive techniques: implementing security methods, identifying insecure patterns, and designing intrusion-resistant servers.
This course is suitable for people who:
- Security engineers: specialists who want to ensure the security of new AI structures.
- Penetration testers: People active in the field of security assessment who seek to discover new vulnerabilities.
- Red Team Members: Specialists who practice counterattack techniques and infiltration simulations.
- AI Platform Engineers: Developers who implement and manage AI-based systems.
- Cloud architects and enthusiasts: People who work in the field of deploying servers and tools related to this protocol.
Hacking MCP Servers: Offensive Security for AI Tooling Course Details
- Publisher: Udemy
- Instructor: Amit Agarwal
- Training level: Beginner to advanced
- Training duration: 1 hour and 26 minutes
- Number of lessons: 20
Course topics
Prerequisites for the Hacking MCP Servers: Offensive Security for AI Tooling course
- This course is beginner-friendly but assumes basic technical literacy.
- Basic understanding of Python
- Some exposure to **LLMs or AI tools** (ChatGPT, Claude, etc.) helps, but is not required
- No prior MCP experience is needed.
- No cloud accounts, API keys, or paid tools are required — everything is demonstrated locally.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
0.98 GB