Remote MCP Server Template (Authless)
A template for deploying custom MCP servers on Cloudflare Workers without authentication. Enables users to create and deploy their own tools accessible from Claude Desktop and AI Playground via SSE endpoints.
README
Building a Remote MCP Server on Cloudflare (Without Auth)
This example allows you to deploy a remote MCP server that doesn't require authentication on Cloudflare Workers.
Available Tools
This MCP server provides two main tools:
1. cursorRules
Performs AI-powered search on the Algenium team's cursor rules using Cloudflare AutoRAG.
Parameters:
query(string): The search query to find relevant cursor rules
2. algtoolsUI
Provides information about AlgtoolsUI components from the Storybook documentation.
Parameters:
componentName(string, optional): The name of a specific component to get detailed information about (e.g., 'Button', 'Avatar', 'Dialog'). If not provided, returns a summary list of all available components.
Data Source: This tool uses https://algtools.github.io/ui/stories.json as the single source of truth for component information.
Behavior:
- Without
componentName: Returns a summary list of all available components with their story counts, props availability, and Storybook URLs - With
componentName: Returns detailed information about the specific component including:- Component title and path
- Description
- Props with their types and descriptions
- Available stories/examples
- Storybook URL
Get started:
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
Customizing your MCP Server
To add your own tools to the MCP server, define each tool inside the init() method of src/index.ts using this.server.tool(...).
Environment Variables and Secrets
This MCP server uses Cloudflare Workers environment variables and secrets. The environment is automatically passed to your Durable Object through the base class.
To access environment variables in your tools:
async init() {
this.server.tool("myTool", {}, async () => {
// Access environment variables through this.env
const apiToken = this.env.AI_SEARCH_API_TOKEN;
// ...
});
}
Setting up secrets:
For sensitive values like API tokens, use Wrangler secrets instead of plain environment variables:
# Set a secret
wrangler secret put AI_SEARCH_API_TOKEN
# For local development, create a .dev.vars file:
echo "AI_SEARCH_API_TOKEN=your-token-here" > .dev.vars
Don't forget to update the worker-configuration.d.ts file to include your environment variables in the Env interface:
interface Env {
MCP_OBJECT: DurableObjectNamespace<import("./src/index").MyMCP>;
AI_SEARCH_API_TOKEN: string;
}
Connect to Cloudflare AI Playground
You can connect to your MCP server from the Cloudflare AI Playground, which is a remote MCP client:
- Go to https://playground.ai.cloudflare.com/
- Enter your deployed MCP server URL (
remote-mcp-server-authless.<your-account>.workers.dev/sse) - You can now use your MCP tools directly from the playground!
Connect Claude Desktop to your MCP server
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.
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