Does this server require Node.js?
Installing Node.js is optional; it makes the HTML simplifier more robust but is not required.
@burnworks
基本情報
概要はまだありません
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": {
"burnworks-mcp-server-fetch": {
"url": "https://example.com",
"selector": "main-content",
"selector_type": "id"
}
}
}Fetches a URL from the internet and extracts its contents as markdown.
Fetch MCP Server with CSS selectors function is a Model Context Protocol server that enables LLMs to fetch and extract web page content, converting HTML to markdown. It supports CSS, ID, and element selectors for targeted content extraction, and allows chunked reading of large pages.
Install using uvx (recommended) or pip. Configure in Claude.app by adding an MCP server entry with command uvx burnworks-mcp-server-fetch or python -m burnworks_mcp_server_fetch. Use the custom-fetch tool with parameters like url, max_length, start_index, raw, selector, and selector_type.
Installing Node.js is optional; it makes the HTML simplifier more robust but is not required.
Use the `start_index` parameter to read content in chunks, specifying where to start extraction.
Yes, use `selector` and `selector_type` with values 'css', 'id', or 'element' to target specific content.
By default, the server obeys robots.txt for tool requests but not prompt requests. Use `--ignore-robots-txt` to disable compliance.
Helps AI assistants access text content from bot-protected websites. MCP server that fetches HTML/markdown from sites with anti-automation measures using Scrapling.
Give your AI agent the live web. One MCP server for Search, Fetch, Browser, and Agent: browse real sites, extract structured data, fill forms, and run multi-step workflows. Search and Fetch are free.
A flexible HTTP fetching Model Context Protocol server.
🔮 Platform-neutral Browser Use for AI agents: real Chrome automation with a CLI + SDKs, no lock-in, dead simple.
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