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_KEYResumen de MCP Servers
# 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)
Lo que la gente pregunta sobre rasterly-mcp
¿Qué es jhonychain/rasterly-mcp?
+
jhonychain/rasterly-mcp es mcp servers para el ecosistema de Claude AI. 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. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-08-18.
¿Cómo se instala rasterly-mcp?
+
Puedes instalar rasterly-mcp clonando el repositorio (https://github.com/jhonychain/rasterly-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar jhonychain/rasterly-mcp?
+
Nuestro agente de seguridad ha analizado jhonychain/rasterly-mcp y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene jhonychain/rasterly-mcp?
+
jhonychain/rasterly-mcp es mantenido por jhonychain. La última actividad registrada en GitHub es del 2026-08-18, con 0 issues abiertos.
¿Hay alternativas a rasterly-mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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