
Cloudflare Playwright MCP
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.
README
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:
- Install dependencies:
npm ci
- Deploy to Cloudflare Workers:
npx wrangler deploy
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.
[!TIP] For best results, give simple instructions consisting of one single action, e. g., "Create a new todo entry", "Go to cloudflare site", "Take a screenshot"
Example of a conversation:
Role | Message |
---|---|
User | Go to demo.playwright.dev/todomvc |
Assistant | runs browser_navigate tool<br> 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<br> 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<br> 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<br> 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<br> ![]() |
User | Now click the checkbox of the parrot todo entry |
Assistant | runs browser_clickt tool<br> 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<br> ![]() |
User | Remove completed todo entries |
Assistant | runs browser_clickt tool<br> 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<br> ![]() |
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:
- Open the configuration file for Claude Desktop.
- Add the following JSON snippet under the
mcpServers
section:
{
"mcpServers": {
"cloudflare-playwright-mcp": {
"command": "npx",
"args": [
"mcp-remote",
"https://[my-mcp-url].workers.dev/sse"
]
}
}
}
- 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:
# For VS Code
code --add-mcp '{"name":"cloudflare-playwright","type":"sse","url":"https://[my-mcp-url].workers.dev/sse"}'
# For VS Code Insiders
code-insiders --add-mcp '{"name":"cloudflare-playwright","type":"sse","url":"https://[my-mcp-url].workers.dev/sse"}'
After installation, the Playwright MCP server will be available for use with your GitHub Copilot agent in VS Code.
推荐服务器

Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。