Better Auth MCP Server: Scalable Authentication Management

Overview: What is Better Auth MCP Server?

Better Auth MCP Server offers an enterprise-grade authentication solution tailored for modern AI applications. Leveraging Model Context Protocol (MCP), this server ensures seamless integration and secure management of user credentials across various environments, including development, staging, and production.

🔧 Core Features & MCP Capabilities

Better Auth MCP Server provides a suite of tools to enhance Authentication Management within MCP clients like Claude Desktop, Continue, Cursor, and more. Key features include:

Secure Credential Management

• AES-256 Encryption: Protect sensitive user data with robust encryption standards.
• Multi-protocol Support (OAuth2, SAML, LDAP): Facilitate seamless integration with various identity providers.

Real-time Threat Detection and Prevention

• Real-Time Monitoring & Security Alerts: Ensure continuous protection against potential threats through real-time monitoring of authentication flows.

⚙️ MCP Architecture & Protocol Implementation

The Better Auth MCP Server is built to leverage the Model Context Protocol (MCP), which acts as a universal adapter enabling AI applications to connect with specific data sources and tools. The server implements an MCP protocol flow, as illustrated in the Mermaid diagram below:

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

MCP Client Compatibility Matrix

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

🚀 Getting Started with Installation

To install the Better Auth MCP Server for your AI application, follow these steps:

1. Clone and Install Dependencies

   git clone https://github.com/better-auth-mcp-server/better-auth-mcp-server.git
   cd better-auth-mcp-server
   npm install
   

2. Build the Server

   npm run build
   

3. Run for Development with Auto-rebuild

   npm run watch
   

💡 Key Use Cases in AI Workflows

Use Case 1: Identity Provider Integration

Imagine integrating an enterprise-level identity management system with your AI application using Better Auth MCP Server. The server can be configured to support OAuth2, SAML, and LDAP protocols, ensuring a unified login experience across multiple identity providers.

Use Case 2: Real-time Authentication Monitoring

Another critical use case is real-time authentication monitoring. With the monitor_auth_flows tool, you can set up continuous monitoring of your application's authentication flows to detect anomalies and ensure compliance with security policies.

🔌 Integration with MCP Clients

Better Auth MCP Server supports integration with AI applications like Claude Desktop, Continue, Cursor, which can leverage its functionality through standard MCP communications. Below is an example configuration snippet for integrating the server:

{
  "mcpServers": {
    "better-auth-mcp-server": {
      "command": "node",
      "args": ["/path/to/better-auth-mcp-server/build/index.js"],
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

📊 Performance & Compatibility Matrix

Better Auth MCP Server is designed to be compatible with various AI applications, ensuring a seamless experience across different environments. The following compatibility matrix highlights the server's support status for various MCP clients.

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

🛠️ Advanced Configuration & Security

Environment Variables

Ensure secure configuration of the server by setting required environment variables:

# Required
BETTER_AUTH_PROJECT_ID=your-project-id
BETTER_AUTH_API_KEY=your-api-key

# Optional
BETTER_AUTH_ENV=development|staging|production
LOG_LEVEL=info|debug|error

Security Best Practices

• API Key Management: Store API keys in environment variables, rotate them regularly, and use different keys per environment.
• Access Control: Implement rate limiting, configure IP allowlists, and follow the principle of least privilege.
• Monitoring: Enable audit logging, monitor auth failures, and set up alerts for suspicious activity.

❓ Frequently Asked Questions (FAQ)

Q1: How do I integrate Better Auth MCP Server with my AI application?

You can integrate Better Auth MCP Server by configuring it as an MCP server in your AI application’s configuration file. Refer to the provided example configuration snippet above.

Q2: What security measures does the server implement?

Better Auth MCP Server uses AES-256 encryption for secure credential management and supports multi-protocol authentication, including OAuth2, SAML, and LDAP.

Q3: Can I use this server with different AI applications?

Yes, Better Auth MCP Server is compatible with multiple AI applications like Claude Desktop, Continue, Cursor, as indicated in the compatibility matrix below.

Q4: How do I monitor real-time authentication flows?

The monitor_auth_flows tool allows you to set up continuous monitoring of your application's authentication flows. Use it to detect anomalies and ensure security compliance.

Q5: Where can I find more resources for integrating Better Auth MCP Server with my AI application?

For comprehensive guides and documentation, please visit the official GitHub repository.

👨‍💻 Development & Contribution Guidelines

Contributions to the Better Auth MCP Server are encouraged. If you wish to contribute, refer to the project’s contributing guidelines available on the GitHub repository.

🌐 MCP Ecosystem & Resources

Explore a rich ecosystem of resources and tools built around Model Context Protocol (MCP), including documentation, tutorials, and community support. For more information, visit the official MCP website or browse the documentation for Better Auth MCP Server.

By integrating Better Auth MCP Server into your AI application, you gain robust authentication management capabilities, ensuring secure user interactions while enhancing the overall performance and security of your applications.