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Puppeteer Vision MCP Server

@djannot

リポジトリ

基本情報

カテゴリ

ブラウザ自動化

トランスポート

stdio

作者

djannot

投稿者

Denis Jannot

Puppeteer Vision MCP Server について

概要はまだありません

#puppeteer#vision#openai

Puppeteer Vision MCP Server の設定

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": {
    "web-scraper": {
      "command": "npx",
      "args": [
        "-y",
        "puppeteer-vision-mcp-serve"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE"
      }
    }
  }
}

Puppeteer Vision MCP Server のツール

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。

概要

What is Puppeteer vision MCP Server?

This Model Context Protocol (MCP) server provides a tool for scraping webpages and converting them to markdown format using Puppeteer, Readability, and Turndown. It features AI-driven interaction capabilities to automatically handle cookies, captchas, and other interactive elements. It is intended for developers and LLM orchestrators that need structured web content.

How to use Puppeteer vision MCP Server?

Run the server directly via npx -y puppeteer-vision-mcp-server after setting required environment variables (e.g., OPENAI_API_KEY). It can also be configured as an MCP tool in an orchestrator using the JSON snippet provided in the README. Transport can be stdio (default), SSE, or HTTP, selected via the TRANSPORT_TYPE variable.

Key features of Puppeteer vision MCP Server

  • Scrapes webpages using Puppeteer with stealth mode
  • AI‑powered handling of cookies, CAPTCHAs, and overlays
  • Extracts main content with Mozilla's Readability
  • Converts HTML to well‑formatted Markdown with Turndown
  • Supports code blocks and tables with custom rules
  • Option to view browser interaction by disabling headless mode

Use cases of Puppeteer vision MCP Server

  • Scrape news articles that require dismissing cookie consent banners
  • Extract documentation or blog posts from pages with paywalls or login prompts
  • Capture structured content (code blocks, tables) from dynamic web pages
  • Feed cleaned Markdown into an LLM for further processing or summarization

よくある質問

1

What AI model does it use?

It requires an OpenAI API key; the default vision model is `gpt-4.1`. You can change the model via the `VISION_MODEL` environment variable, and point to alternative providers by setting `API_BASE_URL`.

2

How do I see the browser during scraping?

Set the environment variable `DISABLE_HEADLESS=true` to run the browser in visible (non‑headless) mode.

3

What transport modes are supported?

Three modes are supported: `stdio` (default), `sse`, and `http`. Set the `TRANSPORT_TYPE` environment variable to switch between them.

4

Can I use a different AI provider?

Yes, set the `API_BASE_URL` environment variable to any OpenAI‑compatible

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