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Searchfetch - MCP Server For Web Search And Fetching

@maxylev

Basic information

Category

Search

Transports

stdio

Author

maxylev

Submitted by

Hoshj

About Searchfetch - MCP Server For Web Search And Fetching

A maximum fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built specifically for AI Agents (Cursor, Claude Desktop, OpenHands), it completely bypasses bot detection (Cloudflare Turnstile, Datadome), dynamically handles S

Searchfetch - MCP Server For Web Search And Fetching config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "searchfetch": {
      "command": "uvx",
      "args": [
        "searchfetch"
      ]
    }
  }
}

Searchfetch - MCP Server For Web Search And Fetching tools

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Overview

What is Searchfetch?

Searchfetch is a maximum fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. It is built for AI Agents (Cursor, Claude Desktop, OpenHands) and bypasses bot detection, dynamically handles SPAs/React, and converts web content into token-optimized Markdown.

How to use Searchfetch?

Configure your MCP client (e.g., Claude Desktop, Cursor) to use the zero-install command uvx searchfetch (Python) or npx -y searchfetch (Node.js). Then use the provided tools: websearch to search the web via DuckDuckGo or Google, and webfetch to fetch and extract text content from any webpage.

Key features of Searchfetch

  • Maximum fault tolerance with auto-healing browser sessions.
  • Stealth engine that bypasses Cloudflare Turnstile and Datadome.
  • Nuclear Token Scrubber strips Base64 images, SVGs, and scripts.
  • Dual execution paths: Python (uvx) and Node.js (npx).
  • Supports both DuckDuckGo and Google search engines.
  • Outputs clean Markdown, clean HTML, or raw HTML.

Use cases of Searchfetch

  • Research general knowledge, news, and find URLs via web search.
  • Extract main text content from JavaScript-heavy single-page applications.
  • Fetch large documents with pagination via start_index and max_length.
  • Provide LLMs with token-optimized content by stripping media and scripts.

Frequently asked questions

1

What runtimes does Searchfetch require?

Searchfetch can run via Python (`uvx`) or Node.js (`npx`), both with zero-install execution.

2

What search engines are supported?

Searchfetch supports DuckDuckGo and Google search engines.

3

Can Searchfetch handle JavaScript-heavy pages?

Yes, `webfetch` fully executes JavaScript to load React/SPAs before extracting content.

4

What output formats are available for fetched pages?

The `webfetch` tool supports `markdown` (default), `clean_html`, and `raw_html` formats.

5

How does Searchfetch avoid bot detection?

It uses CloakBrowser C++ patches and humanize logic to mathematically mimic a normal browser.

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