Lab: Manage Your Tenant with Auth0 MCP

Learn how to securely initialize, authorize, and configure the Auth0 Model Context Protocol (MCP) Server in Visual Studio Code for integration with GitHub Copilot.

Cancel Apply

rate limit

Code not recognized.

About this course

As part of securing identity infrastructure for AI integrations, the Auth0 MCP Server allows your AI coding assistants to securely query metadata from your Auth0 tenant. In this simulation, you will walk through the step-by-step setup of the Auth0 MCP Server inside Visual Studio Code using npx.

By the end of this 15-minute hands-on simulation, you will have configured and verified an MCP server that:

  • Secures access to your Auth0 tenant with fine-grained, read-only scopes while leaving write capabilities unchecked.
  • Utilizes the secure OAuth 2.0 Device Flow to authorize your local VS Code environment without exposing sensitive master credentials.
  • Follows the principle of least privilege by isolating configurations to a workspace-specific .vscode/mcp.json file.
  • Integrates with GitHub Copilot Chat (Agent Mode) to dynamically analyze the tenant through standard, structured natural language queries.

About this course

As part of securing identity infrastructure for AI integrations, the Auth0 MCP Server allows your AI coding assistants to securely query metadata from your Auth0 tenant. In this simulation, you will walk through the step-by-step setup of the Auth0 MCP Server inside Visual Studio Code using npx.

By the end of this 15-minute hands-on simulation, you will have configured and verified an MCP server that:

  • Secures access to your Auth0 tenant with fine-grained, read-only scopes while leaving write capabilities unchecked.
  • Utilizes the secure OAuth 2.0 Device Flow to authorize your local VS Code environment without exposing sensitive master credentials.
  • Follows the principle of least privilege by isolating configurations to a workspace-specific .vscode/mcp.json file.
  • Integrates with GitHub Copilot Chat (Agent Mode) to dynamically analyze the tenant through standard, structured natural language queries.