
Cloudflare Workers
OfficialConnects Claude Desktop to Cloudflare Workers by translating TypeScript Worker methods into MCP tools via a local proxy server.
Enables MCP capabilities in Cloudflare Workers for deploying low-latency, scalable AI services at the network edge.
What it does
- Convert Worker methods to MCP tools automatically
- Deploy custom AI services to Cloudflare's edge network
- Expose Worker functions to Claude Desktop and other MCP clients
- Access Cloudflare's developer platform services from LLMs
- Generate Workers with built-in MCP connectivity
Best for
About Cloudflare Workers
Cloudflare Workers is an official MCP server published by cloudflare that provides AI assistants with tools and capabilities via the Model Context Protocol. Cloudflare Workers empowers MCP to deploy scalable, low-latency AI services at the network edge for optimal performance. It is categorized under cloud infrastructure, developer tools.
How to install
You can install Cloudflare Workers in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Cloudflare Workers is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
workers-mcp
Talk to a Cloudflare Worker from Claude Desktop!
[!WARNING]
You should start here instead — and build a remote MCP serverYou can connect to remote MCP servers from Claude Desktop, Cursor, and other clients using mcp-remote.
What is workers-mcp?
This package provides both the CLI tooling and the in-Worker logic to connect Claude Desktop (or any MCP Client) to a Cloudflare Worker on your account, so you can customise it to suit your needs. It works via a build step that can translate TypeScript methods of your Worker like this:
export class ExampleWorkerMCP extends WorkerEntrypoint<Env> {
/**
* Generates a random number. This is extra random because it had to travel all the way to
* your nearest Cloudflare PoP to be calculated which... something something lava lamps?
*
* @return {string} A message containing a super duper random number
* */
async getRandomNumber() {
return `Your random number is ${Math.random()}`
}
// ...etc
}
...into MCP tools that a local Node.js server can expose to MCP clients. The Node.js server acts as a proxy, handling stdio transport locally, and calling the relevant method of your Worker running on Cloudflare. This allows you to expose any function or API in your app, or any service in Cloudflare's developer platform, back to a LLM in your coding agent, Claude Desktop or other MCP client.
Yes, I know that
Math.random()works the same on a Worker as it does on your local machine, but don't tell Claude 🤫
Usage
Step 1: Generate a new Worker
Use create-cloudflare to generate a new Worker.
npx create-cloudflare@latest my-new-worker
I suggest choosing a Hello World worker.
Step 2: Install workers-mcp
cd my-new-worker # I always forget this bit
npm install workers-mcp
Step 3: Run the setup command
npx workers-mcp setup
Note: if something goes wrong, run npx workers-mcp help
Step 4..♾️: Iterating
After changing your Worker code, you only need to run npm run deploy to update both Claude's metadata about your function and your live Worker instance.
However, if you change the names of your methods, or their parameters, or add or remove methods, Claude will not see the updates until you restart it.
You shouldn't ever need to rerun npx workers-mcp install:claude, but it's safe to do so if you want to rule out Claude config as a source of errors.
Using with Other MCP Clients
Cursor
To get your Cloudflare MCP server working in Cursor, you need to combine the 'command' and 'args' from your config file into a single string and use type 'command'.
For example, if your config file looks like:
{
"mcpServers": {
"your-mcp-server-name": {
"command": "/path/to/workers-mcp",
"args": [
"run",
"your-mcp-server-name",
"https://your-server-url.workers.dev",
"/path/to/your/project"
],
"env": {}
}
}
}
In Cursor, create an MCP server entry with:
- type:
command - command:
/path/to/workers-mcp run your-mcp-server-name https://your-server-url.workers.dev /path/to/your/project
Other MCP Clients
For Windsurf and other MCP clients, update your configuration file to include your worker so you could use the tools directly from the client:
{
"mcpServers": {
"your-mcp-server-name": {
"command": "/path/to/workers-mcp",
"args": [
"run",
"your-mcp-server-name",
"https://your-server-url.workers.dev",
"/path/to/your/project"
],
"env": {}
}
}
}
Make sure to replace the placeholders with your actual server name, URL, and project path.
Examples
See the examples directory for a few ideas of what to use this for:
examples/01-hello-worldis a snapshot taken after the installation instructions aboveexamples/02-image-generationuses Workers AI to run the Flux image generation model. Claude is really good at suggesting prompts and can actually interpret the outcome and decide what new prompts to try to achieve the outcome you want.- TODO Browser Rendering
- TODO Durable Objects
Alternatives
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