MCP Security Explained OAuth, Tool Poisoning, Gateways & Safe AI Agents

MCP changes how AI agents connect to tools, APIs, files, databases, and internal systems. That also changes the security model.

In this tutorial, we break down MCP security using animated architecture diagrams and safe simulated examples. You’ll learn how OAuth works for MCP, why token audience and scopes matter, how tool poisoning can happen, why gateways are useful, and how to design safer AI agents with runtime defenses.

Topics covered:
00:00 The harmless MCP tool problem
00:27 MCP mental model: host, client, server, tools
01:02 Why MCP changes AI security
01:39 OAuth for MCP: scopes, PKCE, audience-bound tokens
02:26 Broken auth patterns and safer fixes
03:10 Tool poisoning and indirect prompt injection
03:49 Runtime defenses for unsafe tool output
04:27 MCP gateways for auth, policy, isolation, and logs
05:02 Safe AI agent architecture
05:35 Final MCP security checklist
06:08 Secure agents before production

This video uses fake secrets, localhost-only examples, and safe simulations. No real credential theft or live exfiltration is demonstrated.

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Видео MCP Security Explained OAuth, Tool Poisoning, Gateways & Safe AI Agents канала CodersSecret