MCP server — give any AI agent web superpowers: read any URL as Markdown, screenshot it, extract structured data, or crawl a site. Backed by rasterly.dev.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
claude mcp add rasterly-mcp -- npx -y rasterly-mcp{
"mcpServers": {
"rasterly-mcp": {
"command": "npx",
"args": ["-y", "rasterly-mcp"],
"env": {
"RASTERLY_API_KEY": "<rasterly_api_key>"
}
}
}
}RASTERLY_API_KEYMCP Servers overview
# 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](https://rasterly.dev), 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](https://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`.
## 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
```bash
RASTERLY_API_KEY=sk_live_… npx -y rasterly-mcp
```
MIT · built on [rasterly](https://rasterly.dev)
What people ask about rasterly-mcp
What is jhonychain/rasterly-mcp?
+
jhonychain/rasterly-mcp is mcp servers for the Claude AI ecosystem. MCP server — give any AI agent web superpowers: read any URL as Markdown, screenshot it, extract structured data, or crawl a site. Backed by rasterly.dev. It has 0 GitHub stars and its last recorded update is dated 2026-08-18.
How do I install rasterly-mcp?
+
You can install rasterly-mcp by cloning the repository (https://github.com/jhonychain/rasterly-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is jhonychain/rasterly-mcp safe to use?
+
Our security agent has analyzed jhonychain/rasterly-mcp and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains jhonychain/rasterly-mcp?
+
jhonychain/rasterly-mcp is maintained by jhonychain. The last recorded GitHub activity is dated 2026-08-18, with 0 open issues.
Are there alternatives to rasterly-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Deploy rasterly-mcp to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/jhonychain-rasterly-mcp)<a href="https://claudewave.com/repo/jhonychain-rasterly-mcp"><img src="https://claudewave.com/api/badge/jhonychain-rasterly-mcp" alt="Featured on ClaudeWave: jhonychain/rasterly-mcp" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
The fastest path to AI-powered full stack observability, even for lean teams.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!