Cloudflare Playwright MCP

Cloudflare Playwright MCP Example

Overview

This project demonstrates how to use Playwright with Cloudflare Workers as a Model Control Protocol (MCP) server using Cloudflare Playwright MCP.

It enables AI assistants to control a browser through a set of tools, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots.

The server can be used with various AI platforms including Cloudflare AI Playground, Claude Desktop, and GitHub Copilot in VS Code.

Deploy

Follow these steps to set up and deploy the project:

1. Install dependencies:

2. Deploy to Cloudflare Workers:

Use with Cloudflare AI Playground

Cloudflare playground AI is a great way to test MCP servers using LLM models available in Workers AI.

• Navigate to https://playground.ai.cloudflare.com/
• Ensure model is set to llama-3.3-70b-instruct-fp8-fast
• In MCP Servers, set URL to https://[my-mcp-url].workers.dev/sse
• Click Connect
• Status should update to Connected and it should list 14 available tools

You can now start to interact with the model, and it will run necessary tools to accomplish what was requested.

Example of a conversation:

Role	Message
User	Go to demo.playwright.dev/todomvc
Assistant	runs browser_navigate tool The page has been navigated to https://demo.playwright.dev/todomvc/. The page title is "React • TodoMVC". The page snapshot shows the content of the page, including a heading, a textbox, and several links.
User	Create some todo entry
Assistant	runs browser_type tool A new todo entry "Buy groceries" has been created. The page snapshot shows the updated content of the page, including the new todo entry.
User	Nice. Now create a todo in parrot style
Assistant	runs browser_type tool A new todo entry "Polly wants a cracker" has been created in parrot style. The page snapshot shows the updated content of the page, including the new todo entry.
User	And create another todo in yoda style
Assistant	runs browser_type tool A new todo entry "A walk, I must take" has been created in Yoda style. The page snapshot shows the updated content of the page, including the new todo entry.
User	Take a screenshot
Assistant	runs browser_take_screenshot tool A screenshot of the current page has been taken. The screenshot is in PNG format and is 56KB in size.
User	Now click the checkbox of the parrot todo entry
Assistant	runs browser_clickt tool The checkbox of the parrot todo entry "Polly wants a cracker" has been clicked. The page snapshot shows the updated content of the page, with the checkbox now checked.
User	Take a screenshot
Assistant	runs browser_take_screenshot tool A screenshot of the current page has been taken. The screenshot is in PNG format and is 58KB in size.
User	Remove completed todo entries
Assistant	runs browser_clickt tool The "Clear completed" button has been clicked. The page snapshot shows the updated content of the page, with the completed todo entry "Polly wants a cracker" removed.
User	Take a final screenshot
Assistant	runs browser_take_screenshot tool A final screenshot of the current page has been taken. The screenshot is in PNG format and is 50KB in size.

Use with Claude Desktop

As of now, Claude Desktop only supports local MCP servers. To use playground-mcp with Claude Desktop we make use of mcp-remote, a tool that proxies remote MCP servers and exposes them locally. Use the following configuration:

1. Open the configuration file for Claude Desktop.
2. Add the following JSON snippet under the mcpServers section:

3. Save the configuration file and restart Claude Desktop to apply the changes.

This setup ensures that Claude Desktop can communicate with the Cloudflare Playwright MCP server.

Here's an example of a session opening the TODO demo app, adding "buy lemons" and doing a screenshot, taking advantage of playwright-mcp tools and Browser Rendering:

Configure in VSCode

You can install the Playwright MCP server using the VS Code CLI:

After installation, the Playwright MCP server will be available for use with your GitHub Copilot agent in VS Code.