官方说明7 个来源MCP 服务8 天前
kimdonghwi94/Web-Analyzer-MCP
🐍 🏠 🍎 🪟 🐧 - Extract clean web content for RAG and answer questions about web pages
在 GitHub 查看 ↗直链 · 无中转页
配置模板（请按你的客户端调整）
claude mcp add web-analyzer-mcp -- npx -y web-analyzer-mcp
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 4 ★ · kimdonghwi94/web-analyzer-mcp · 取自 GitHub 搜索 API · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
- 评分构成
- 综合分 703 · 4 ★ · 7 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
kimdonghwi94/web-analyzer-mcp；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
🔍 Web Analyzer MCP
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
A powerful MCP (Model Context Protocol) server for intelligent web content analysis and summarization. Built with FastMCP, this server provides smart web scraping, content extraction, and AI-powered question-answering capabilities.
✨ Features
🎯 Core Tools
1. **url_to_markdown** - Extract and summarize key web page content
- Analyzes content importance using custom algorithms
- Removes ads, navigation, and irrelevant content
- Keeps only essential information (tables, images, key text)
- Outputs structured markdown optimized for analysis
2. **web_content_qna** - AI-powered Q&A about web content
- Extracts relevant content sections from web pages
- Uses intelligent chunking and relevance matching
- Answers questions using OpenAI GPT models
🚀 Key Features
- **Smart Content Ranking**: Algorithm-based content importance scoring
- **Essential Content Only**: Removes clutter, keeps what matters
- **Multi-IDE Support**: Works with Claude Desktop, Cursor, VS Code, PyCharm
- **Flexible Models**: Choose from GPT-3.5, GPT-4, GPT-4 Turbo, or GPT-5
📦 Installation
Prerequisites
- uv (Python package manager)
- Chrome/Chromium browser (for Selenium)
- OpenAI API key (for Q&A functionality)
🚀 Quick Start with uv (Recommended)
Installing via Smithery
To install web-analyzer-mcp for Claude Desktop automatically via Smithery:
IDE/Editor Integration
Install Claude Desktop
Add to your Claude Desktop_config.json file. See Claude Desktop MCP documentation for more details.
Install Claude Code (VS Code Extension)
Add the server using Claude Code CLI:
Install Cursor IDE
Add to your Cursor settings (File > Preferences > Settings > Extensions > MCP):
Install JetBrains AI Assistant
See JetBrains AI Assistant Documentation for more details.
1. In JetBrains IDEs go to **Settings** → **Tools** → **AI Assistant** → **Model Context Protocol (MCP)**
2. Click **+ Add**
3. Click on **Command** in the top-left corner of the dialog and select the **As JSON** option from the list
4. Add this configuration and click **OK**:
🎛️ Tool Descriptions
url_to_markdown
Converts web pages to clean markdown format with essential content extraction.
**Parameters:**
- url (string): The web page URL to analyze
**Returns:** Clean markdown content with structured data preservation
web_content_qna
Answers questions about web page content using intelligent content analysis.
**Parameters:**
- url (string): The web page URL to analyze
- question (string): Question about the page content
**Returns:** AI-generated answer based on page content
🏗️ Architecture
Content Extraction Pipeline
1. **URL Validation** - Ensures proper URL format
2. **HTML Fetching** - Uses Selenium for dynamic content
3. **Content Parsing** - BeautifulSoup for HTML processing
4. **Element Scoring** - Custom algorithm ranks content importance
5. **Content Filtering** - Removes duplicates and low-value content
6. **Markdown Conversion** - Structured output generation
Q&A Processing Pipeline
✨ Features
🎯 Core Tools
1. **url_to_markdown** - Extract and summarize key web page content
- Analyzes content importance using custom algorithms
- Removes ads, navigation, and irrelevant content
- Keeps only essential information (tables, images, key text)
- Outputs structured markdown optimized for analysis
2. **web_content_qna** - AI-powered Q&A about web content
- Extracts relevant content sections from web pages
- Uses intelligent chunking and relevance matching
- Answers questions using OpenAI GPT models
🚀 Key Features
- **Smart Content Ranking**: Algorithm-based content importance scoring
- **Essential Content Only**: Removes clutter, keeps what matters
- **Multi-IDE Support**: Works with Claude Desktop, Cursor, VS Code, PyCharm
- **Flexible Models**: Choose from GPT-3.5, GPT-4, GPT-4 Turbo, or GPT-5
📦 Installation
Prerequisites
- uv (Python package manager)
- Chrome/Chromium browser (for Selenium)
- OpenAI API key (for Q&A functionality)
🚀 Quick Start with uv (Recommended)
Installing via Smithery
To install web-analyzer-mcp for Claude Desktop automatically via Smithery:
IDE/Editor Integration
Install Claude Desktop
Add to your Claude Desktop_config.json file. See Claude Desktop MCP documentation for more details.
Install Claude Code (VS Code Extension)
Add the server using Claude Code CLI:
Install Cursor IDE
Add to your Cursor settings (File > Preferences > Settings > Extensions > MCP):
Install JetBrains AI Assistant
See JetBrains AI Assistant Documentation for more details.
1. In JetBrains IDEs go to **Settings** → **Tools** → **AI Assistant** → **Model Context Protocol (MCP)**
2. Click **+ Add**
3. Click on **Command** in the top-left corner of the dialog and select the **As JSON** option from the list
4. Add this configuration and click **OK**:
🎛️ Tool Descriptions
url_to_markdown
Converts web pages to clean markdown format with essential content extraction.
**Parameters:**
- url (string): The web page URL to analyze
**Returns:** Clean markdown content with structured data preservation
web_content_qna
Answers questions about web page content using intelligent content analysis.
**Parameters:**
- url (string): The web page URL to analyze
- question (string): Question about the page content
**Returns:** AI-generated answer based on page content
🏗️ Architecture
Content Extraction Pipeline
1. **URL Validation** - Ensures proper URL format
2. **HTML Fetching** - Uses Selenium for dynamic content
3. **Content Parsing** - BeautifulSoup for HTML processing
4. **Element Scoring** - Custom algorithm ranks content importance
5. **Content Filtering** - Removes duplicates and low-value content
6. **Markdown Conversion** - Structured output generation
Q&A Processing Pipeline
- 来源
- awesome · https://github.com/kimdonghwi94/web-analyzer-mcp
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