Web Fetch

v1.0.0Search & Data Extractionstable

An MCP server that provides web scraping and Bing search capabilities, supporting both static and dynamic content through Puppeteer. It allows AI assistants to extract page summaries, SEO metadata, and full text with automatic detection for headless

web-fetchmcpai-integration
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What is Web Fetch?

Web Fetch is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server that provides web scraping and bing search capabilities, supporting both static and dynamic content through puppeteer. it allows ai assistants to extract page summaries, seo metadata, and f...

An MCP server that provides web scraping and Bing search capabilities, supporting both static and dynamic content through Puppeteer. It allows AI assistants to extract page summaries, SEO metadata, and full text with automatic detection for headless

This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • An MCP server that provides web scraping and Bing search cap

Use Cases

Web scraping and Bing search
SEO metadata extraction
xiaozhuABCD1234

Maintainer

LicenseGPL 3.0
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y web-fetch-mcp

Manual Installation

npx -y web-fetch-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Web Fetch

What is Web Fetch?

Web Fetch is a Model Context Protocol (MCP) server that mcp server that provides web scraping and bing search capabilities, supporting both static and dynamic content through puppeteer. it allows ai assistants to extract page summaries, seo metadata, and full text with automatic detection for headless It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Web Fetch?

Install via npm with the command: npx -y web-fetch-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Web Fetch?

Web Fetch works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Web Fetch free to use?

Yes, Web Fetch is open source and available under the GPL 3.0 license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "web-fetch": { "command": "npx", "args": ["-y", "web-fetch-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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