Secure AI Agent Interactions with Auth for MCP

The Model Context Protocol (MCP) enables AI agents to connect to external data and tools, but it lacks built-in access controls. To solve this, Auth0 introduced the Auth for MCP framework. This learning path provides a comprehensive guide for identity and security teams to establish a secure identity layer using the Auth for MCP framework. You will begin by exploring the hidden risks of agentic workflows. Then, you will dive into the core mechanics of Auth for MCP, learning how to securely register AI agents using Client ID Metadata Documents (CIMD) and implement a dual-role architecture. You will also discover how to securely manage agent access using the On-Behalf-Of (OBO) Token Exchange for first-party APIs and the Auth0 Token Vault for third-party APIs. Finally, you will apply these concepts in a hands-on lab to implement authorization for your MCP server using Auth for MCP and validate your newly acquired expertise.

Target Audience

This series is designed for identity engineers, security professionals, and AI application developers who are building agentic workflows. It is intended for those responsible for mitigating risks such as complex, one-off registrations, ensuring AI agents safely manage user identity and context, and governing API interactions using the principle of least privilege.

Skills Gained

Upon completing this learning path, you will be able to:

• Architect a secure identity layer for AI agents using the Auth for MCP framework to protect interactions across all layers.
• Implement the On-Behalf-Of (OBO) Token Exchange flow and use Token Vault to securely call APIs on the human user’s behalf.
• Configure an Auth0 tenant for Auth for MCP.
• Validate your implementation skills through a hands-on coding lab and a comprehensive skill badge assessment