Do I need an API key?
Yes, you can provide one via the `RENDEX_API_KEY` environment variable or pass it as a `Bearer` token to the remote server. OAuth‑capable clients can authenticate with a one‑time email code instead.

@copperline-labs
基本情報
MCP server for Rendex — capture screenshots, generate PDFs, and render HTML to images of any webpage via AI agents. Claude, Cursor, Windsurf compatible.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"rendex": {
"command": "npx",
"args": [
"-y",
"@copperline/rendex-mcp"
],
"env": {
"RENDEX_API_KEY": "your-api-key"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Rendex is an MCP server that lets AI agents render raw HTML, Markdown, or any URL to an image or PDF using the Model Context Protocol. It integrates with the Rendex platform and is designed for agents in Claude, Cursor, Windsurf, ChatGPT, and similar clients.
Install via npx and configure your MCP client with a RENDEX_API_KEY environment variable, or connect to the remote hosted server at https://mcp.rendex.dev/mcp using OAuth 2.1 or a static API key. The server exposes tools like rendex_screenshot, rendex_extract, rendex_render_link, render_artifact, and eight watch‑related tools.
Yes, you can provide one via the `RENDEX_API_KEY` environment variable or pass it as a `Bearer` token to the remote server. OAuth‑capable clients can authenticate with a one‑time email code instead.
Screenshots can be PNG, JPEG, WebP, or PDF. Content extraction returns Markdown, JSON, or HTML. Artifacts produce PDF and/or PNG with hosted share links. The `rendex_render_link` tool returns a signed URL for an image.
Yes, the server is available at `https://mcp.rendex.dev/mcp` with OAuth 2.1 support, so no local install is needed.
Viewport width is limited to 320–3840px, height 240–2160px. Custom CSS and JavaScript are capped at 50 KB each, and artifact content at roughly 4 MB. Geo‑targeting parameters require a Pro or Enterprise plan.
Yes, set the `async` parameter to `true` and optionally provide a `webhookUrl` to receive a callback when the capture completes.
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