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Webforai

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Webforai — Model Context Protocol server

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Описание

Webforai — Model Context Protocol server

README

A Cloudflare Workers-based Model Context Protocol (MCP) server that extracts plain text from web pages using WebforAI.

🌟 What is WebforAI?

WebforAI is a powerful library designed to make web content accessible to AI models. It provides tools to:

  • Convert HTML to clean, structured Markdown
  • Extract meaningful content from web pages
  • Process tables, links, and images intelligently
  • Prepare web content for AI consumption

This MCP server leverages WebforAI's capabilities to extract plain text from any web page URL, making it easy to feed web content into AI models through the Model Context Protocol.

📋 Features

  • Simple API: Extract text from any web page with a single API call
  • Clean Output: Receive well-formatted Markdown text without HTML noise
  • Error Handling: Robust error handling for failed requests
  • Cloudflare Workers: Serverless deployment with global distribution
  • MCP Compatible: Works with any MCP client like Claude Desktop or Cloudflare AI Playground

🚀 Getting Started

Deploy to Cloudflare Workers

Deploy to Workers

This will deploy your MCP server to a URL like: webforai-mcp-server.<your-account>.workers.dev/sse

Local Development

  1. Clone this repository:

    git clone https://github.com/yutakobayashidev/webforai-mcp-server.git
    cd webforai-mcp-server
    
  2. Install dependencies:

    pnpm install
    
  3. Start the development server:

    pnpm dev
    
  4. Your server will be available at http://localhost:8787

🔧 Using the Text Extraction Tool

The extractWebPageText tool accepts a URL to a web page and returns the extracted text content in markdown format:

{
  "url": "https://example.com/page"
}

The response will contain the extracted text in Markdown format, with:

  • Links converted to plain text
  • Tables converted to plain text
  • Images hidden

🔌 Connecting to MCP Clients

Cloudflare AI Playground

  1. Go to Cloudflare AI Playground
  2. Enter your deployed MCP server URL (webforai-mcp-server.<your-account>.workers.dev/sse)
  3. You can now use your text extraction tool directly from the playground!

Claude Desktop

To connect to your MCP server from Claude Desktop:

  1. Follow Anthropic's Quickstart
  2. In Claude Desktop go to Settings > Developer > Edit Config
  3. Update with this configuration:
{
  "mcpServers": {
    "webforaiExtractor": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://localhost:8787/sse"  // or webforai-mcp-server.your-account.workers.dev/sse
      ]
    }
  }
}
  1. Restart Claude and you should see the text extraction tool become available

📚 Learn More

📄 License

MIT

from github.com/yutakobayashidev/webforai-mcp-server

Установка Webforai

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/yutakobayashidev/webforai-mcp-server

FAQ

Webforai MCP бесплатный?

Да, Webforai MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Webforai?

Нет, Webforai работает без API-ключей и переменных окружения.

Webforai — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Webforai в Claude Desktop, Claude Code или Cursor?

Открой Webforai на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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