MCP Server for Stealth Web Search and Fetching

MCP Server for Stealth Web Search and Fetching

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

Category
访问服务器

README

SearchFetch (MCP Server)

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

Features

  • Stealth Engine: Powered by CloakBrowser C++ patches + humanize logic. The browser renders and moves like a real user, reducing bot-detection scores.
  • Fault Tolerance: Auto-healing browser sessions, grace-period timeouts for SPAs, and network-level blocking of tracking scripts and media.
  • Token-Optimized Output: Strips base64 images, SVGs, scripts, and inline styles from the DOM before Markdown conversion.
  • Dual Runtime: Natively supports zero-install execution via both Python (uvx) and Node.js (npx).
  • Template-Driven Extraction: Structured extraction via shared JSON templates (GitHub, npm, PyPI, crates.io, docs pages, Docker Hub, and more). Supports custom inline templates.

Usage & Installation

You do not need to install this repository manually. Configure your agent to use the zero-install commands npx or uvx.

Claude Desktop Configuration

Option A: Python (uvx - Recommended)

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

Option B: Node.js (npx)

{
  "mcpServers": {
    "searchfetch": {
      "command": "npx",
      "args": ["-y", "searchfetch"]
    }
  }
}

Cursor / IDE Configuration

Add via the MCP panel in Cursor settings:

  • Type: command
  • Command: uvx searchfetch (or npx -y searchfetch)

Available Tools

1. websearch

Search the web through the template pipeline. DuckDuckGo and Google are built-in; custom search templates can be selected by name.

Parameter Type Default Description
query string required The search query string.
engine string "duckduckgo" "duckduckgo", "google", or a custom search template name.
max_results number 10 Maximum number of results to return.
region string/null null Region/language code (e.g. "us-en", "de-de"). DDG maps directly; Google maps to gl/hl.
safe_search boolean/null null Enable safe search. null uses the template default.
block_media boolean true Block images, media, and fonts at the network layer.

2. webfetch

Fetch a page with the stealth browser and extract structured Markdown using a template. Falls back to generic Markdown extraction for unknown pages.

Parameter Type Default Description
url string required Full URL (must start with http/https).
template string "auto" "auto", a built-in name, or inline JSON template.
start_index number 0 Character offset for pagination.
max_length number 10000 Maximum characters per request.
block_media boolean true Block images, videos, and fonts at the network layer.

Template extraction supports text, markdown, attribute, and html formats; nested children; repeated sections; URL-decoding transforms; per-template cookies; and per-template resource blocking.

Built-in templates live in templates/*.json and are shared by the Node.js and Python implementations.

Available page templates (auto-detected by URL or selectable by name): wikipedia, reddit, mdn-web-docs, gitlab, youtube, devto, go-pkg, javadoc, github-repo, github-issue, npm-package, pypi-package, crates-package, docker-hub, docs-rs, docs-page

raw — special template that applies minimal filtering and returns full body content as markdown. Use when you need the complete page without template-specific extraction.


Local Development

# Install dependencies
npm install
pip install -e ".[dev]"

# Run tests
npm test                # runs all tests (JS + Python)
npm run test:js         # Node.js unit tests (built-in test runner)
npm run test:py         # Python unit tests (pytest)

# Lint
npm run lint            # runs all linters
npm run lint:js         # ESLint
npm run lint:py         # Ruff

# Format
npm run format          # auto-format all source files
npm run format:check    # check formatting without changes

# MCP inspector (for manual testing)
npm run inspector-js    # test with MCP Inspector (Node.js)
npm run inspector-py    # test with MCP Inspector (Python)

Architecture

This repository uses a flat dual-manifest structure (package.json and pyproject.toml in the root). Both runtimes (index.js for Node, server.py for Python) share the same templates/*.json files and maintain feature parity.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选