Remote Authless MCP Server on Cloudflare

This example allows you to deploy a remote Model Context Protocol (MCP) server that doesn't require authentication on Cloudflare Workers.

Overview: What is Remote Authless MCP Server?

The Remote Authless MCP Server enables developers and AI application users to connect their applications with specific data sources or tools through the standardized Model Context Protocol. By deploying this server, you can integrate your AI workflows more securely and efficiently without user authentication—a crucial feature for many use cases.

🔧 Core Features & MCP Capabilities

The server supports a wide range of functionalities required by various AI applications such as Claude Desktop, Continue, Cursor, and others. It enables these clients to interact with the server using the Model Context Protocol (MCP), which acts like a USB-C port in devices for seamless data exchange.

⚙️ MCP Architecture & Protocol Implementation

The architecture includes several key components:

• MCP Protocol Flow: The protocol ensures that data is securely and efficiently transmitted between the AI application, the client, and the server.
• Tool Setup: Developers can add their own tools to the server using the init() method in src/index.ts.

MCP Protocol Flow Diagram

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

Data Architecture Diagram

graph TD
    A[Client] --> B[MCP Server]
    B --> C[Context Provider]
    C --> D[Tool/Server]
    D --> E[Data Output]
    A -->|Config| F[API Key]
    style A fill:#e9ddff
    style B fill:#f1eee9
    style C fill:#eafffa
    style D fill:#ffe0db
    style E fill:#fcf7d0

🚀 Getting Started with Installation

To quickly get started, you can use the following options:

Deploy Using Cloudflare Deploy Button

This will deploy your MCP server to a URL like: remote-mcp-server-authless.<your-account>.workers.dev/sse

Local Deployment Using NPM

Alternatively, you can use the command line below to get the remote MCP Server created on your local machine:

npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-authless

💡 Key Use Cases in AI Workflows

1. Financial Analysis with API Tools: Combine financial data from APIs like Bloomberg or Alpha Vantage with custom tools to perform real-time market analysis.
2. Healthcare Research with Medical Databases: Integrate medical research datasets and query tools to support clinical trials and drug development.

🔌 Integration with MCP Clients

The server is compatible with the following MCP clients:

• Claude Desktop - Full Support
• Continue - Full Support
• Cursor - Tools Only

These AI applications can easily connect to your deployed remote MCP server using predefined settings or by customizing their MCP client configurations.

📊 Performance & Compatibility Matrix

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

🛠️ Advanced Configuration & Security

To connect to your remote MCP server from Claude Desktop, follow these steps:

1. Go to Settings > Developer > Edit Config in Claude Desktop.
2. Update with the following configuration:

{
  "mcpServers": {
    "calculator": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://localhost:8787/sse"  // or remote-mcp-server-authless.your-account.workers.dev/sse
      ]
    }
  }
}

Restart Claude and you should see the tools become available.

👨‍💻 Development & Contribution Guidelines

• Usage Examples: Use examples from the README to guide your implementation.
• Community Support: Join our community forums for any support or feature requests.
• Pull Requests: Send pull requests for bug fixes and new features.

🌐 MCP Ecosystem & Resources

Explore more about Model Context Protocol at modelcontextprotocol.io.

Frequently Asked Questions (FAQ)

1. How do I connect my AI application to the remote MCP server?

   • Use the provided configuration code sample or follow the integration steps outlined in the README.

2. Can the Remote Authless MCP Server be used with other clients besides those listed in the compatibility matrix?

   • While the primary support is for Claude Desktop, Continue, and Cursor, additional clients can occasionally be supported upon request.

3. Is my data secure when using this server?

   • The server is designed to enhance security by reducing user authentication needs while still providing robust protocol features for secure data exchange.

4. How do I troubleshoot common issues with remote MCP servers?

   • Check the documentation and community forums for troubleshooting guides and support.

5. What are best practices for tool development in this context?

   • Ensure your tools adhere to the standard protocol implementation details outlined in the README to guarantee seamless integration.

By deploying a Remote Authless MCP Server, you can significantly enhance the capabilities of AI applications while maintaining security and efficiency.