Server data from the Official MCP Registry
Web toolkit for AI agents: read any URL as Markdown, screenshot, extract data, or crawl a site.
About
Web toolkit for AI agents: read any URL as Markdown, screenshot, extract data, or crawl a site.
Security Report
This is a well-structured MCP server with proper authentication, clean code, and permissions that match its stated purpose of rendering and reading web pages. The server requires an API key for the rasterly backend, uses zod for input validation, and makes only authenticated HTTP requests to a configured endpoint. No malicious patterns, hardcoded secrets, or dangerous operations detected. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue.
3 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: RASTERLY_API_KEY
Environment variable: RASTERLY_API_URL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-rasterly-dev-rasterly-mcp": {
"env": {
"RASTERLY_API_KEY": "your-rasterly-api-key-here",
"RASTERLY_API_URL": "your-rasterly-api-url-here"
},
"args": [
"-y",
"rasterly-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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):
{
"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.
Try it
Ask your agent things like:
- "Read https://news.ycombinator.com and summarize the top 3 posts."
- "Screenshot stripe.com and tell me what the hero section says."
- "Turn this docs page into a PDF."
Config
| 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. |
Run standalone
RASTERLY_API_KEY=sk_live_… npx -y rasterly-mcp
MIT · built on rasterly
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