An authentication-free, remote MCP server deployable on Cloudflare Workers or locally via npm.
This example allows you to deploy a remote MCP server that doesn't require authentication on Cloudflare Workers.
This will deploy your MCP server to a URL like: remote-mcp-server-authless.<your-account>.workers.dev/sse
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
To add your own tools to the MCP server, define each tool inside the init()
method of src/index.ts
using this.server.tool(...)
.
You can connect to your MCP server from the Cloudflare AI Playground, which is a remote MCP client:
remote-mcp-server-authless.<your-account>.workers.dev/sse
)You can also connect to your remote MCP server from local MCP clients, by using the mcp-remote proxy.
To connect to your MCP server from Claude Desktop, follow Anthropic's Quickstart and within Claude Desktop go to Settings > Developer > Edit Config.
Update with this 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.
An MCP server providing searchable access to multiple AI/ML SDK documentation and source code.
An example of a remote MCP server deployable on Cloudflare Workers without authentication.
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An authentication-free, remote MCP server deployable on Cloudflare Workers. Customize tools directly in the source code and deploy via Cloudflare or locally.
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Enhances LLM reasoning by transforming prompts into Chain of Draft or Chain of Thought formats, improving quality and reducing token usage. Requires API keys for external LLM services.
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Fetches API information from Feishu OpenAPI for seamless integration and management within an IDE.
Automates the setup of new AI-powered MCP server development projects.