MCP WebScout

MCP WebScout

A Model Context Protocol server that provides web search capabilities via DuckDuckGo and advanced content extraction using Crawl4AI and LLM-powered analysis. It enables users to perform web-wide searches and fetch processed website data through automated browser interaction and intelligent summarization.

Category
访问服务器

README

MCP WebScout

A Model Context Protocol (MCP) server providing web search (DuckDuckGo) and intelligent content extraction with LLM-powered analysis.

Features

  • search: Search the web using DuckDuckGo
  • fetch: Advanced web fetching with Crawl4AI and LLM extraction

System Requirements

Requirement Version Notes
Python >= 3.10 Required runtime environment
pip latest Package manager (included with Python)
Playwright latest Required by Crawl4AI for browser automation
DeepSeek API Key - Required for LLM extraction mode
Proxy (optional) - Required for users in mainland China

Python Dependencies (14 packages)

Package Version Purpose
mcp >=1.0.0 MCP protocol implementation
duckduckgo-search >=3.0.0 DuckDuckGo search API
requests >=2.32.0 HTTP requests
beautifulsoup4 >=4.12.0 HTML parsing
openai >=1.30.0 OpenAI API client for DeepSeek
crawl4ai >=0.5.0 Advanced web scraping

Quick Start

Get started in 5 steps:

1. Clone and Setup Environment

git clone <repository>
cd mcp-webscout
python -m venv .venv

On Windows:

.venv\Scripts\activate

On macOS/Linux:

source .venv/bin/activate

2. Install Dependencies

pip install -e ".[dev]"

3. Install Playwright Browsers

playwright install chromium

4. Configure Environment Variables

cp .env.example .env

Edit .env and add your configuration:

# Required for LLM extraction
DEEPSEEK_API_KEY=sk-your-actual-key-here

# Required for mainland China users
PROXY_URL=http://127.0.0.1:7890
USE_PROXY=true

5. Verify Installation

# Run tests
pytest tests/ -v

# Test the server
python -m mcp_webscout --help

Detailed Configuration

For detailed environment setup instructions, see ENV_SETUP.md.

Usage

As a Command

mcp-webscout

As a Python Module

python -m mcp_webscout

With Claude Desktop

Add to your claude_desktop_config.json:

Basic Configuration

{
  "mcpServers": {
    "webscout": {
      "command": "mcp-webscout"
    }
  }
}

With Environment Variables (Recommended)

{
  "mcpServers": {
    "webscout": {
      "command": "mcp-webscout",
      "env": {
        "DEEPSEEK_API_KEY": "sk-your-key-here",
        "PROXY_URL": "http://127.0.0.1:7890",
        "USE_PROXY": "true",
        "DEFAULT_MAX_LENGTH": "5000",
        "PYTHONUTF8": "1"
      }
    }
  }
}

Windows Configuration

{
  "mcpServers": {
    "webscout": {
      "command": "python",
      "args": ["-m", "mcp_webscout"],
      "env": {
        "DEEPSEEK_API_KEY": "sk-your-key-here",
        "PROXY_URL": "http://127.0.0.1:7890",
        "USE_PROXY": "true",
        "PYTHONUTF8": "1"
      }
    }
  }
}

Tools

search

Search the web using DuckDuckGo.

Parameters:

Name Type Required Description
query string Yes Search query
max_results integer No Maximum results (1-10, default: 5)

Returns:

Formatted search results with titles, URLs, and snippets.

Example:

{
  "query": "Python programming",
  "max_results": 3
}

fetch

Advanced web fetching with Crawl4AI and LLM extraction.

Parameters:

Name Type Required Description
url string Yes URL to fetch
mode string No Extraction mode: simple, llm (default: simple)
prompt string No Custom extraction prompt for LLM mode
max_length integer No Maximum characters (default: 5000)
use_proxy boolean No Use proxy (default: true)

Returns:

Fetched and optionally extracted content.

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
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
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
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
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
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
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
mcp-server-qdrant

mcp-server-qdrant

这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。

官方
精选
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选