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Cloudflare Browser Rendering Experiments & MCP Server

@amotivv

リポジトリ

基本情報

カテゴリ

ブラウザ自動化

ライセンス

MIT

トランスポート

stdio

作者

amotivv

Cloudflare Browser Rendering Experiments & MCP Server について

This project demonstrates how to use Cloudflare Browser Rendering to extract web content for LLM context. It includes experiments with the REST API and Workers Binding API, as well as an MCP server implementation that can be used to provide web context to LLMs.

#mcp#cloudflare#web-scraping#browser-automation

Cloudflare Browser Rendering Experiments & MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "cloudflare-browser-rendering": {
      "command": "npx",
      "args": [
        "wrangler",
        "deploy"
      ]
    }
  }
}

Cloudflare Browser Rendering Experiments & MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Cloudflare Browser Rendering Experiments & MCP Server?

This project demonstrates how to use Cloudflare Browser Rendering to extract web content for LLM context. It includes experiments with the REST API and Workers Binding API, as well as an MCP server implementation that provides web context to LLMs via tools like fetching pages and summarizing content.

How to use Cloudflare Browser Rendering Experiments & MCP Server?

Clone the repository, install dependencies, and configure a Cloudflare Worker with the Browser Rendering binding and the nodejs_compat flag. Deploy the Worker, set the BROWSER_RENDERING_API environment variable to your Worker’s URL, then build and run the MCP server with npm run build and npm start. The MCP server exposes tools that can be invoked through compatible clients (e.g., Cline via MCP settings).

Key features of Cloudflare Browser Rendering Experiments & MCP Server

  • Demonstrates Cloudflare Browser Rendering for LLM context
  • Includes REST API and Workers Binding API experiments
  • Provides an MCP server with four tools
  • Tools: fetch_page, search_documentation, extract_structured_content, summarize_content
  • Integrates with Cline via MCP settings

Use cases of Cloudflare Browser Rendering Experiments & MCP Server

  • Extract web page content for LLM context
  • Search and retrieve Cloudflare documentation
  • Extract structured content from pages using CSS selectors
  • Summarize web content for concise LLM input

よくある質問

1

What prerequisites are needed?

Node.js v16 or later, a Cloudflare account with Browser Rendering enabled, TypeScript, and the Wrangler CLI.

2

How do I configure the Cloudflare Worker?

Set up `wrangler.toml` with a `[browser]` binding (e.g., `binding = "browser"`), enable `nodejs_compat`, then deploy with `npx wrangler deploy`.

3

How do I set the Browser Rendering API URL?

Set the `BROWSER_RENDERING_API` environment variable to the URL of your deployed Cloudflare Worker.

4

What MCP server tools are available?

The MCP server provides `fetch_page`, `search_documentation`, `extract_structured_content`, and `summarize_content`.

5

What are key learnings for using Cloudflare Browser Rendering?

Use the `@cloudflare/puppeteer` package, launch the browser with `puppeteer.launch(env.browser)`, enable the `nodejs_compat` compatibility flag, and always close the

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