Cloudflare Browser Rendering MCP Server

@amotivv

代码仓库

基本信息

分类

浏览器自动化

许可证

MIT

传输方式

stdio

作者

amotivv

关于 Cloudflare Browser Rendering MCP Server

This MCP server provides tools for interacting with Cloudflare Browser Rendering, allowing you to fetch and process web content for use as context in LLMs directly from Cline or Claude Desktop.

Cloudflare Browser Rendering MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "cloudflare-browser-rendering-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@amotivv/cloudflare-browser-rendering-mcp",
        "--client",
        "claude"
      ]
    }
  }
}

Cloudflare Browser Rendering MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Cloudflare Browser Rendering MCP Server?

This MCP (Model Context Protocol) server provides tools for fetching and processing web content using Cloudflare Browser Rendering for use as context in LLMs. It is designed to work with both Claude and Cline client environments.

How to use Cloudflare Browser Rendering MCP Server?

Install via Smithery (npx -y @smithery/cli install @amotivv/cloudflare-browser-rendering-mcp --client claude) or manually from GitHub. Configure the BROWSER_RENDERING_API environment variable with the URL of a deployed Cloudflare Worker that has Browser Rendering and KV bindings. Once configured, tools like fetch_page, search_documentation, extract_structured_content, summarize_content, and take_screenshot become available in the client.

Key features of Cloudflare Browser Rendering MCP Server

Fetch and process web pages for LLM context
Search Cloudflare documentation for relevant content
Extract structured content using CSS selectors
Summarize web content for concise LLM context
Take screenshots of web pages
Works with both Claude Desktop and Cline

Use cases of Cloudflare Browser Rendering MCP Server

A developer asking an LLM to summarize the latest Cloudflare docs on Browser Rendering
An AI assistant extracting the main heading and first paragraph from a web page
A user requesting a screenshot of a page to reference offline
A researcher fetching and condensing long articles into a few sentences
A knowledge worker searching Cloudflare documentation for specific API details

常见问题

What are the prerequisites?

Node.js v18 or higher, a Cloudflare account with Browser Rendering API access, and a Cloudflare Worker deployed with the provided `puppeteer-worker.js` file, plus a KV namespace named `SCREENSHOTS`.

How do I configure the BROWSER_RENDERING_API environment variable?

Set the environment variable in the MCP server configuration (e.g., `claude_desktop_config.json` or `cline_mcp_settings.json`) with the URL of your deployed Cloudflare Worker, like `"BROWSER_RENDERING_API": "https://your-worker-url.workers.dev"`.

What tools are available?

Five tools: `fetch_page`, `search_documentation`, `extract_structured_content`, `summarize_content`, and `take_screenshot`. Each accepts specific parameters listed in the README.

What Cloudflare Worker bindings are required?

A Browser Rendering binding named `browser` and a KV namespace binding named `SCREENSHOTS`. Without these, the worker will return errors.

How can I test that everything is working?

Run `npm test` after building the project and setting the `BROWSER_RENDERING_API` environment variable. This starts the MCP server and tests each tool with sample requests.