Remote MCP Server Authless logo

Remote MCP Server Authless

by kathayl

This example provides a way to deploy a remote Model Context Protocol (MCP) server on Cloudflare Workers without requiring authentication. It allows you to connect to the server from the Cloudflare AI Playground or local MCP clients like Claude Desktop.

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What is Remote MCP Server Authless?

This is a remote Model Context Protocol (MCP) server designed to run on Cloudflare Workers. It enables you to expose custom tools to AI models and clients without needing authentication.

How to use Remote MCP Server Authless?

You can deploy the server using the 'Deploy to Workers' button or via the command line using npm create cloudflare@latest. After deployment, customize the server by adding your own tools within the init() method of src/index.ts. You can then connect to it from the Cloudflare AI Playground or local MCP clients like Claude Desktop using the provided configuration.

Key features of Remote MCP Server Authless

  • Authentication-free deployment

  • Easy integration with Cloudflare AI Playground

  • Compatibility with local MCP clients (e.g., Claude Desktop)

  • Customizable tool integration

  • Serverless architecture

Use cases of Remote MCP Server Authless

  • Exposing custom tools to AI models

  • Integrating external services with AI applications

  • Creating personalized AI experiences

  • Building AI-powered workflows

  • Testing and prototyping AI tools

FAQ from Remote MCP Server Authless

What is MCP?

MCP stands for Model Context Protocol, a standard for communication between AI models and external tools.

Why use Cloudflare Workers?

Cloudflare Workers provide a serverless environment for running code close to users, offering scalability and performance benefits.

How do I add my own tools?

Define each tool inside the init() method of src/index.ts using this.server.tool(...).

Can I use this with other MCP clients?

Yes, you can connect to the server from any MCP client using the mcp-remote proxy.

Is this production ready?

This is an example and may require further security considerations for production environments, especially since it lacks authentication.