Remote Mcp Server Authless Scrape And Analyze Website
БесплатноНе проверенAnalyze and ask questions about an input website using this Cloudflare MCP server
Описание
Analyze and ask questions about an input website using this Cloudflare MCP server
README
This example allows you to deploy a remote MCP server that doesn't require authentication on Cloudflare Workers. The server includes tools for website analysis and content extraction using Cloudflare's Browser Rendering and AI capabilities.
Get started:
This will deploy your MCP server to a URL like: remote-mcp-server-authless.<your-account>.workers.dev/sse
Alternatively, you can use the command line below to get the remote MCP Server created on your local machine:
npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-authless
Available Tools
Website Analysis Tools
analyze_website
- Scrapes and analyzes a website using Cloudflare's browser rendering
- Uses Cloudflare AI to provide a summary of the website's content
- Input:
url(string) - The website URL to analyze - Example:
[tool] analyze_website(url: "https://example.com")
ask_q_about_website
- Scrapes a website and answers specific questions about its content
- Uses Cloudflare AI to understand and respond to questions about the website
- Inputs:
url(string) - The website URL to analyzequestion(string) - Your question about the website content
- Example:
[tool] ask_q_about_website(url: "https://example.com", question: "What services does this company offer?")
Customizing your MCP Server
To add your own tools to the MCP server, define each tool inside the init() method of src/index.ts using this.server.tool(...).
Connect to Cloudflare AI Playground
You can connect to your MCP server from the Cloudflare AI Playground, which is a remote MCP client:
- Go to https://playground.ai.cloudflare.com/
- Enter your deployed MCP server URL (
remote-mcp-server-authless.<your-account>.workers.dev/sse) - You can now use your MCP tools directly from the playground!
Connect Claude Desktop to your MCP server
You can also connect to your remote MCP server from local MCP clients, by using the mcp-remote proxy.
To connect to your MCP server from Claude Desktop, follow Anthropic's Quickstart and within Claude Desktop go to Settings > Developer > Edit Config.
Update with this configuration:
{
"mcpServers": {
"calculator": {
"command": "npx",
"args": [
"mcp-remote",
"http://localhost:8787/sse" // or remote-mcp-server-authless.your-account.workers.dev/sse
]
}
}
}
Restart Claude and you should see the tools become available.
Requirements
To use the website analysis tools, you need:
- Cloudflare Workers with browser binding enabled
- Cloudflare AI binding configured
- Appropriate permissions for both bindings
Make sure your wrangler.jsonc includes:
{
"browser": {
"binding": "BROWSER"
},
"ai": {
"binding": "AI"
}
}
from github.com/elizabethsiegle/remote-mcp-server-authless-scrape-and-analyze-website
Установка Remote Mcp Server Authless Scrape And Analyze Website
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/elizabethsiegle/remote-mcp-server-authless-scrape-and-analyze-websiteFAQ
Remote Mcp Server Authless Scrape And Analyze Website MCP бесплатный?
Да, Remote Mcp Server Authless Scrape And Analyze Website MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Remote Mcp Server Authless Scrape And Analyze Website?
Нет, Remote Mcp Server Authless Scrape And Analyze Website работает без API-ключей и переменных окружения.
Remote Mcp Server Authless Scrape And Analyze Website — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Remote Mcp Server Authless Scrape And Analyze Website в Claude Desktop, Claude Code или Cursor?
Открой Remote Mcp Server Authless Scrape And Analyze Website 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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