Auth0 MCP Server Integration

What does “Auth0” MCP Server do?

The Auth0 MCP (Model Context Protocol) Server is designed to connect AI assistants with external identity and authentication data provided by Auth0. By integrating with the Auth0 MCP Server, AI-driven development workflows can securely access user authentication data, authorization information, and identity management operations. This setup enables tasks such as querying user profiles, managing access permissions, or interfacing with Auth0 APIs programmatically. As a result, developers can build AI-powered tools that leverage real-time identity data, automate security processes, and streamline identity management workflows in modern applications.

List of Prompts

No prompt templates were found in the available repository files or documentation.

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List of Resources

No explicit MCP resources were documented in the available repository files or documentation.

List of Tools

No specific tools were listed or described in the repository files or documentation (e.g., no server.py, tool registry, or similar visible).

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Use Cases of this MCP Server

No detailed use cases are provided in the available repository files or documentation.

How to set it up

Windsurf

1. Ensure Node.js is installed on your system.
2. Locate your Windsurf configuration file.
3. Add the Auth0 MCP Server to the mcpServers object with the following JSON snippet:

   {
     "auth0-mcp": {
       "command": "npx",
       "args": ["@auth0/auth0-mcp-server@latest"]
     }
   }
   

4. Save your configuration and restart Windsurf.
5. Verify the connection to the Auth0 MCP Server.

Claude

1. Install Node.js on your machine.
2. Open the Claude configuration JSON file.
3. Insert the Auth0 MCP Server under the mcpServers section as follows:

   {
     "auth0-mcp": {
       "command": "npx",
       "args": ["@auth0/auth0-mcp-server@latest"]
     }
   }
   

4. Save the file and restart Claude.
5. Confirm the MCP server is running.

Cursor

1. Confirm Node.js is available.
2. Edit the Cursor configuration file.
3. Add this snippet to the mcpServers section:

   {
     "auth0-mcp": {
       "command": "npx",
       "args": ["@auth0/auth0-mcp-server@latest"]
     }
   }
   

4. Save and restart Cursor.
5. Check for successful setup.

Cline

1. Install Node.js if not present.
2. Navigate to the Cline configuration.
3. Update the mcpServers object:

   {
     "auth0-mcp": {
       "command": "npx",
       "args": ["@auth0/auth0-mcp-server@latest"]
     }
   }
   

4. Save your configuration and restart Cline.
5. Ensure the Auth0 MCP Server is operational.

Securing API Keys

To secure API keys, use environment variables. Example configuration:

{
  "auth0-mcp": {
    "command": "npx",
    "args": ["@auth0/auth0-mcp-server@latest"],
    "env": {
      "AUTH0_API_KEY": "${AUTH0_API_KEY}"
    },
    "inputs": {
      "apiKey": "${AUTH0_API_KEY}"
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "auth0-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “auth0-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

A lot of the expected MCP-specific information (prompts, tools, resources, and sampling/roots support) is missing or undocumented in the public repository. The repo does have a LICENSE and setup info, but lacks detailed technical content.

Our opinion

Based on the available documentation and repository content, this MCP server receives a 3/10. It provides only high-level setup and licensing information, but does not document core MCP capabilities like prompts, resources, tools, or advanced features.

MCP Score