Web Fetch Server
БесплатноНе проверенEnables LLMs to fetch and process web page contents by providing tools to retrieve raw HTML, extract clean text, and convert web pages to markdown format.
Описание
Enables LLMs to fetch and process web page contents by providing tools to retrieve raw HTML, extract clean text, and convert web pages to markdown format.
README
A Model Context Protocol (MCP) server that enables LLMs to fetch and process web page contents. This server provides tools for retrieving raw HTML, extracting clean text, and converting web pages to markdown format.
Features
- fetch_webpage: Retrieves raw HTML content from any URL
- fetch_webpage_text: Extracts clean text content without HTML tags
- fetch_webpage_markdown: Converts web pages to markdown format
Installation
- Install dependencies:
npm install
- Build the project:
npm run build
Usage with LM Studio
To use this MCP server with LM Studio, you need to configure it in your MCP settings.
Configuration
Add the following to your LM Studio MCP configuration file (typically located at ~/.lmstudio/mcp-settings.json or similar):
{
"mcpServers": {
"web-fetch": {
"command": "node",
"args": ["D:\\Projects\\web search mcp\\dist\\index.js"]
}
}
}
Adjust the path to match your actual installation directory.
Alternative: Global Installation
You can also install the server globally or use npx:
npm install -g .
Then configure LM Studio to use:
{
"mcpServers": {
"web-fetch": {
"command": "web-fetch-mcp"
}
}
}
Available Tools
1. fetch_webpage
Fetches the raw HTML content of a webpage.
Input:
url(string, required): The URL of the webpage to fetch
Example:
{
"url": "https://example.com"
}
2. fetch_webpage_text
Fetches a webpage and extracts clean text content without HTML tags, scripts, or styles.
Input:
url(string, required): The URL of the webpage to fetch
Example:
{
"url": "https://example.com"
}
3. fetch_webpage_markdown
Fetches a webpage and converts it to markdown format, preserving structure like headings, links, and lists.
Input:
url(string, required): The URL of the webpage to fetch
Example:
{
"url": "https://example.com"
}
Development
Build
npm run build
Watch mode (auto-rebuild on changes)
npm run dev
Run directly
npm start
Technical Details
- Protocol: Model Context Protocol (MCP) via stdio transport
- HTTP Client: Axios with 30-second timeout and automatic redirect handling
- HTML Parsing: Cheerio for efficient HTML parsing
- Markdown Conversion: Turndown for high-quality HTML to Markdown conversion
- User Agent: Mimics modern browser to avoid bot detection
Error Handling
The server includes comprehensive error handling for:
- Network failures
- Invalid URLs
- Timeout errors
- HTTP errors (404, 500, etc.)
Errors are returned in a structured format with descriptive messages.
Security Notes
- The server fetches content from any URL provided
- Be cautious when fetching content from untrusted sources
- Consider implementing URL allowlists for production use
- The server respects redirects (max 5)
License
MIT
Установить Web Fetch Server в Claude Desktop, Claude Code, Cursor
unyly install web-fetch-mcp-serverСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add web-fetch-mcp-server -- npx -y github:ruandwrd/web-fetch-mcp-serverFAQ
Web Fetch Server MCP бесплатный?
Да, Web Fetch Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Web Fetch Server?
Нет, Web Fetch Server работает без API-ключей и переменных окружения.
Web Fetch Server — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Web Fetch Server в Claude Desktop, Claude Code или Cursor?
Открой Web Fetch Server 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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