What does this MCP server do?
It deploys a remote MCP server on Cloudflare Workers that does not require authentication.
@apewrench
基本信息
暂无概览
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
This example allows you to deploy a remote MCP server that doesn't require authentication on Cloudflare Workers.
Deploy via the "Deploy to Workers" button or run npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-authless. Customize tools inside the init() method of src/index.ts using this.server.tool(...). Connect to Cloudflare AI Playground by entering the deployed SSE URL, or to Claude Desktop via the mcp-remote proxy in the client configuration.
init() methodmcp-remote proxyIt deploys a remote MCP server on Cloudflare Workers that does not require authentication.
Use the "Deploy to Workers" button or run `npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-authless`.
Add tools inside the `init()` method of `src/index.ts` using `this.server.tool(...)`.
Go to https://playground.ai.cloudflare.com/, enter your deployed SSE URL (e.g., `remote-mcp-server-authless.<your-account>.workers.dev/sse`), and use your tools directly.
Use the `mcp-remote` proxy in Claude Desktop's MCP server configuration, pointing to your SSE endpoint.

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.
Console, Backend and CLI to manage Capgo Instant update and Native build for Capacitor apps Build and upload to app store your mobile app
Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott

Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client.
评论