How do I deploy the Remote Authless server?

You can deploy it with a single click using the Cloudflare Workers button, or via your command line interface (CLI) using `npm create cloudflare`.

What is Remote Authless?

Remote Authless allows you to quickly deploy an unauthenticated Model Context Protocol (MCP) server on Cloudflare Workers, streamlining AI agent development without authentication requirements.

Can I add custom tools to my Remote Authless server?

Yes, the server is designed for easy customization. You can define and integrate your own Model Context Protocol tools within the `init()` method of your `src/index.ts` file.

Which AI clients can connect to Remote Authless?

It's compatible with remote clients like the Cloudflare AI Playground and local clients such as Claude Desktop, utilizing the `mcp-remote` proxy for local connections.

Remote Authless

Name: Remote Authless
Author: Manifest-Automation

byManifest-Automation

0•

部署与 DevOps

数据科学与机器学习

开发者工具

Deploy an unauthenticated Model Context Protocol server on Cloudflare Workers, designed for flexible AI agent development.

This project provides a ready-to-deploy example of a Model Context Protocol (MCP) server, specifically configured without requiring authentication, designed to run on Cloudflare Workers. It enables developers to quickly set up a remote MCP endpoint, integrate custom tools directly within the server's code, and seamlessly connect to various clients. Users can integrate it with the Cloudflare AI Playground for immediate interaction or connect it to local AI applications like Claude Desktop via a proxy, facilitating agile prototyping and extension of AI agent capabilities.

主要功能

01Easy integration of custom MCP tools

02Cloudflare Workers deployment via one-click button or CLI

03Authentication-free Model Context Protocol server

040 GitHub stars

05Connects to local clients like Claude Desktop via mcp-remote proxy

06Compatibility with Cloudflare AI Playground

使用案例

01Integrating bespoke functionalities into AI clients through a remote endpoint

02Extending local AI applications with remote capabilities and custom toolsets

03Rapid prototyping of AI agents with custom tools on a serverless platform