Workers MCP

Talk to a Cloudflare Worker from Claude Desktop! 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.

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

image

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",
 "/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 /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",
 "/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-world is a snapshot taken after the installation instructions above
• examples/02-image-generation uses 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