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How to Use the Frontegg MCP in VS Code Copilot

Manage B2B tenants and audit permissions directly from VS Code Copilot.

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VS Code Copilot

Connect Frontegg MCP to VS Code Copilot

Create your Vinkius account to connect Frontegg to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Team-wide Tenant Management in VS Code Copilot

`list_tenants` queries your active Frontegg environments directly from the VS Code Copilot chat window. Teams sharing the workspace configuration can audit tenant states without sharing browser-based admin credentials. When onboarding new enterprise clients, developers run `create_tenant` directly from the chat panel. This keeps your provisioning history and workspace configuration in one shared environment.

Instant User Auditing for VS Code Copilot Teams

`get_user_details` pulls the complete metadata profile of any user directly into VS Code Copilot for rapid debugging. Your team can diagnose login issues or metadata mismatches without leaving the code editor. If a user needs to be removed during a staging reset, `delete_user` executes the command immediately. Your team maintains complete control over the sandbox environment directly from the editor.

Map Permissions with VS Code Copilot MCP Server

`list_permissions` retrieves the granular access control rules from Frontegg to help you plan code changes. Your VS Code Copilot agent references these live rules to suggest accurate authorization logic for your controllers. The MCP Server also provides `list_system_roles` to ensure your team uses valid role names in your codebase. This eliminates runtime errors caused by mismatched role strings in your security decorators.

Setup guide

Set up Frontegg MCP in VS Code Copilot

Prerequisites

  • VS Code 1.99 or later with GitHub Copilot extension
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.

  2. 2

    Add the Frontegg MCP

    Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Switch to Agent mode

    Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.

  4. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the Frontegg tools listed. Try asking: "List my recent Frontegg transactions" and Copilot will invoke them automatically.

.vscode/mcp.json
{
  "mcpServers": {
    "frontegg-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Frontegg. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Frontegg MCP in VS Code Copilot

Yes. You commit the server settings to `.vscode/mcp.json` in your repository, giving every developer on the team instant access to the identity MCP tools inside their editor.
You ask the chat agent to inspect a workspace, and it runs `get_tenant_details` to return the active configuration, highlighting any status anomalies inside VS Code Copilot instantly.
Yes. The team can run `create_user` directly from the chat prompt to add test administrators to any tenant during local development in VS Code Copilot.
Run `check_environment_status` within the Copilot chat. The agent checks the workspace credentials and reports whether the connection is active.
The integration utilizes the secure Vinkius MCP sandbox to isolate all user profiles, emails, and tenant details. No sensitive identity data is ever used to train public AI models.

Start using the Frontegg MCP today

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