Remote MCP Server (Authless)
by jeffpress
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 clients like the Cloudflare AI Playground and 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 allows you to expose tools and functionalities 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, you can connect to it from the Cloudflare AI Playground or Claude Desktop by providing the server's URL. To add custom tools, modify the src/index.ts file.
Key features of Remote MCP Server (Authless)
Authless deployment
Cloudflare Workers integration
Customizable tools
Compatibility with Cloudflare AI Playground
Compatibility with Claude Desktop
Remote access
Use cases of Remote MCP Server (Authless)
Exposing custom tools to AI models
Integrating AI functionalities into applications
Creating a serverless AI backend
Testing and experimenting with MCP
Connecting AI models to external services
FAQ from Remote MCP Server (Authless)
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol that allows AI models to interact with external tools and services.
Why use Cloudflare Workers?
Why use Cloudflare Workers?
Cloudflare Workers provides a serverless environment that is easy to deploy and scale, making it ideal for hosting MCP servers.
How do I add my own tools?
How do I add my own tools?
You can add your own tools by defining them inside the init() method of src/index.ts using this.server.tool(...).
Can I use this with other MCP clients?
Can I use this with other MCP clients?
Yes, you can use this server with any MCP client that supports connecting to a remote server.
Is this production ready?
Is this production ready?
This is an example and may require further customization and security considerations before being used in a production environment.