Advertise
MCP.so
Sign In

Cloudflare Browser Rendering Experiments & MCP Server

@amotivv

Repository

Basic information

Category

Browser Automation

License

MIT

Transports

stdio

Author

amotivv

About 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 can be used to provide web context to LLMs.

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

Cloudflare Browser Rendering Experiments & MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Cloudflare Browser Rendering Experiments & MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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

Frequently asked questions

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

Comments

More Browser Automation MCP servers

Browse Bridge

Share selected Chrome tabs with AI agents. You enable the tab you want to share and maintain the ability to instantly take control. Browse Bridge is a remote MCP server available at https://mcp.browsebridge.com. What c

QuantumProxies — Residential, Mobile & Datacenter Proxy MCP Server

quantumproxies

Give your AI agent its own proxies. QuantumProxies exposes residential, mobile, datacenter, ISP and IPv6 endpoints as MCP tools: list your plans, generate ready-to-use proxy strings with credentials, target by country, s

BitBrowser MCP service

BitBrowser01

BitBrowser MCP simple to use, no complicated procedures required. Supports a variety of intelligent agent services.

playwright-server MCP server

blackwhite084

189

TinyFish

tinyfish

Give your AI agent the live web. One MCP server for Search, Fetch, Browser, and Agent: browse real sites, extract structured data, fill forms, and run multi-step workflows. Search and Fetch are free.

3
Advertise