Authenticator App MCP Server

What does “Authenticator App” MCP Server do?

The Authenticator App MCP Server is a secure Model Context Protocol (MCP) server that enables AI agents to interact with the Authenticator App. It provides seamless access to 2FA (two-factor authentication) codes and passwords, allowing AI agents to assist with automated login processes while maintaining security. By bridging the gap between AI assistants and secure authentication, this server makes it easier to manage credentials across different platforms and websites. Developers can leverage the server to securely retrieve authentication codes and passwords, streamlining workflows that require authentication, such as automated testing, deployments, or protected resource access, all while safeguarding sensitive information.

List of Prompts

No prompt templates are explicitly mentioned in the repository.

List of Resources

No explicit resources are described in the available documentation or code.

List of Tools

No detailed tool list found in the available repository files or documentation.

Use Cases of this MCP Server

• Automated Login Processes
  Enables AI agents to securely retrieve 2FA codes and passwords, facilitating automated logins for applications and services that require two-factor authentication.
• Credential Management
  Centralizes and manages credentials, allowing developers and AI systems to fetch required authentication data without manual intervention.
• Testing and Deployment Automation
  Integrates secure credential retrieval into CI/CD pipelines, supporting automated testing and deployment processes that require authenticated access.
• Multi-Platform Authentication
  Supports credential retrieval for various platforms and websites, streamlining cross-platform authentication workflows.
• Enhanced Security for AI Agents
  Ensures that sensitive authentication data is accessed through a secure interface, minimizing exposure and maintaining best security practices.

How to set it up

Windsurf

1. Ensure Node.js and npx are installed.
2. Obtain your Authenticator App access token.
3. Edit your configuration file to include the MCP server:

   {
     "mcpServers": {
       "Authenticator App MCP": {
         "command": "npx",
         "args": ["-y", "authenticator-mcp", "--access-token=YOUR-KEY"]
       }
     }
   }
   

4. Save the configuration and restart Windsurf if needed.
5. Verify the setup by attempting to retrieve a 2FA code via the AI agent.

Claude

1. Ensure Node.js and npx are installed.
2. Obtain your Authenticator App access token.
3. Add the following to your configuration file:

   {
     "mcpServers": {
       "Authenticator App MCP": {
         "command": "npx",
         "args": ["-y", "authenticator-mcp", "--access-token=YOUR-KEY"]
       }
     }
   }
   

4. Save and restart Claude.
5. Test by asking Claude’s agent to fetch a password or 2FA code.

Cursor

1. Install Node.js and npx.
2. Generate an Authenticator App access token.
3. Update the configuration file:

   {
     "mcpServers": {
       "Authenticator App MCP": {
         "command": "npx",
         "args": ["-y", "authenticator-mcp", "--access-token=YOUR-KEY"]
       }
     }
   }
   

4. Save and relaunch Cursor.
5. Verify by requesting an authentication code.

Cline

1. Make sure Node.js and npx are installed.
2. Secure your Authenticator App access token.
3. Add the server to your config:

   {
     "mcpServers": {
       "Authenticator App MCP": {
         "command": "npx",
         "args": ["-y", "authenticator-mcp", "--access-token=YOUR-KEY"]
       }
     }
   }
   

4. Save changes and restart Cline.
5. Confirm by retrieving credentials using the AI interface.

Securing API Keys

Instead of passing the access token directly in args, use environment variables for enhanced security:

{
  "mcpServers": {
    "Authenticator App MCP": {
      "command": "npx",
      "args": ["-y", "authenticator-mcp"],
      "env": {
        "AUTHENTICATOR_ACCESS_TOKEN": "YOUR-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:

{
  "Authenticator App 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 “Authenticator App MCP” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

The Authenticator App MCP Server offers a clear, security-focused value proposition and provides concise setup instructions for multiple platforms. However, it lacks explicit documentation on prompt templates, resources, and tools, and does not mention advanced MCP features like Roots or Sampling. The project is relatively new and has limited community adoption, but it is open-source and MIT licensed.

MCP Score

Rating: 5/10
The Authenticator App MCP Server is easy to set up and addresses a practical security need, but its documentation is minimal beyond setup, lacking detail on prompts, tools, or advanced MCP capabilities. Its score reflects good security practices and open licensing, but more depth and features would improve its rating.