rasterly-mcp (io.github.jhonychain/rasterly-mcp)

rasterly-mcp is a web toolkit for AI agents that can read any URL as Markdown, take screenshots, extract data, or crawl a site. It is backed by rasterly, a headless-Chromium rendering API, and works in any MCP client.

🛠️ Key Features

read_url: returns a page’s main content as clean, LLM-ready Markdown with JavaScript rendered and nav/ads/boilerplate stripped.
capture_url: provides a screenshot of a URL.
Supports screenshotting, data extraction, and site crawling.

🚀 Use Cases

Convert live web pages into Markdown for agent consumption.
Capture a visual representation of a web page.
Extract structured information or crawl content across a site.

⚡ Developer Benefits

Produces “clean, LLM-ready” Markdown suitable for reading URLs.
Enables both text and visual workflows for agent tasks.

⚠️ Limitations

The provided description does not specify tool parameters, output formats for extraction/crawling, or any constraints on supported sites.

rasterly-mcp

Give any AI agent eyes and a reader for the live web. An MCP server that lets your agent turn a URL into clean Markdown, a screenshot it can actually see, or a PDF — backed by rasterly, a real headless-Chromium rendering API.

Works in any MCP client: Claude Desktop, Claude Code, Cursor, Windsurf, and others.

Tools

Tool

What the agent gets

read_url

The page's main content as clean, LLM-ready Markdown — JS is rendered, nav/ads/boilerplate stripped. Use it to read a URL.

capture_url

A screenshot returned as an image, so the agent can see the page (layout, charts, anything visual). full_page optional.

url_to_pdf

A print-ready PDF of the page (base64 resource).

Why an agent wants this: a plain fetch() gets you raw HTML that a modern, JS-rendered site won't even populate. read_url runs a real browser and hands back just the article — far fewer tokens, far more signal.

Install

Get a key at rasterly.dev (free tier: 100 renders/month), then add the server to your MCP client.

Claude Desktop / Claude Code / Cursor — add to your MCP config (claude_desktop_config.json, .mcp.json, or the client's MCP settings):

json

{
  "mcpServers": {
    "rasterly": {
      "command": "npx",
      "args": ["-y", "rasterly-mcp"],
      "env": { "RASTERLY_API_KEY": "sk_live_your_key" }
    }
  }
}

Restart the client. Your agent now has read_url, capture_url, and url_to_pdf.

Env var

Default

Notes

RASTERLY_API_KEY

–

Your rasterly key (sent as X-Api-Key).

RASTERLY_API_URL

https://rasterly-production.up.railway.app

Override to point at a self-hosted rasterly.

Install

Configuration

Environment variables

RASTERLY_API_KEYrequiredsecret

Your rasterly API key (get one free at https://rasterly.dev). Sent as the X-Api-Key header.

RASTERLY_API_URL

Override the rasterly API base URL to point at a self-hosted instance.

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "rasterly-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "rasterly-mcp@0.2.0"
      ],
      "env": {
        "RASTERLY_API_KEY": "<YOUR_RASTERLY_API_KEY>",
        "RASTERLY_API_URL": "<YOUR_RASTERLY_API_URL>"
      }
    }
  }
}

rasterly

rasterly-mcp (io.github.jhonychain/rasterly-mcp)

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

rasterly-mcp

Tools

Install

Try it

Config

Run standalone

Install

Configuration

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