Lab: Secure AI Agent Interactions with Auth for MCP

As part of Auth0 for AI Agents, you can use Auth for MCP to protect your MCP server so they can only be accessed through authorized clients. In this lab, you will secure a sample MCP server with Auth0 by requiring and validating client access tokens. You will use MCP Inspector as a client to test the MCP server and to determine which tools and resources the client can access based on the user’s permissions.

Cancel Apply

rate limit

Code not recognized.

About this course

As part of Auth0 for AI Agents, you can use Auth for MCP to protect your MCP server so they can only be accessed through authorized clients. In this lab, you will secure a sample MCP server with Auth0 by requiring and validating client access tokens. You will use MCP Inspector as a client to test the MCP server and to determine which tools and resources the client can access based on the user’s permissions.

By the end of this 30-minute hands-on lab, you will have an MCP server that:

  • Requires access tokens for all incoming requests.
  • Validates OAuth 2.0 access tokens from authorized clients.
  • Enforces role-based access control to manage tool permissions.
  • Is tested with MCP Inspector to verify security rules and debug tool logic without the overhead of a full AI client.

About this course

As part of Auth0 for AI Agents, you can use Auth for MCP to protect your MCP server so they can only be accessed through authorized clients. In this lab, you will secure a sample MCP server with Auth0 by requiring and validating client access tokens. You will use MCP Inspector as a client to test the MCP server and to determine which tools and resources the client can access based on the user’s permissions.

By the end of this 30-minute hands-on lab, you will have an MCP server that:

  • Requires access tokens for all incoming requests.
  • Validates OAuth 2.0 access tokens from authorized clients.
  • Enforces role-based access control to manage tool permissions.
  • Is tested with MCP Inspector to verify security rules and debug tool logic without the overhead of a full AI client.