Web Fetch Server
FreeNot checkedEnables 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.
About
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
Install Web Fetch Server in Claude Desktop, Claude Code & Cursor
unyly install web-fetch-mcp-serverInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add web-fetch-mcp-server -- npx -y github:ruandwrd/web-fetch-mcp-serverFAQ
Is Web Fetch Server MCP free?
Yes, Web Fetch Server MCP is free — one-click install via Unyly at no cost.
Does Web Fetch Server need an API key?
No, Web Fetch Server runs without API keys or environment variables.
Is Web Fetch Server hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Web Fetch Server in Claude Desktop, Claude Code or Cursor?
Open Web Fetch Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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