MCP Web Scraper Server MCP Server

🚀 Production MCP Web Scraper Server

A modular, production-ready MCP server built with the official MCP Python SDK. Optimized for Render deployment with clean separation of concerns.

📁 Project Structure

mcp-web-scraper/
├── server.py              # Main server entry point
├── tools/
│   ├── __init__.py       # Tools package initialization
│   ├── search.py         # Search tools (web_search, news_search, etc.)
│   └── scraping.py       # Scraping tools (scrape_html, extract_article, etc.)
├── utils/
│   ├── __init__.py       # Utils package initialization
│   └── helpers.py        # Helper functions (clean_text, validate_url)
├── requirements.txt       # Python dependencies
├── render.yaml           # Render deployment configuration
├── .gitignore            # Git ignore rules
├── README.md             # This file
└── config.example.json   # Claude Desktop config example

✨ Features

🔍 Search Tools (`tools/search.py`)

• web_search - DuckDuckGo web search
• news_search - News articles with metadata
• search_and_scrape - Search + content extraction
• smart_search - Adaptive search (quick/standard/comprehensive)

📄 Scraping Tools (`tools/scraping.py`)

• scrape_html - HTML scraping with CSS selectors
• extract_article - Clean article extraction
• extract_links - Link extraction with filtering
• extract_metadata - Page metadata & Open Graph
• scrape_table - Table data extraction

🚀 Quick Deploy to Render

Step 1: Create Project Structure

mkdir mcp-web-scraper
cd mcp-web-scraper

# Create directory structure
mkdir -p tools utils

# Create all files (copy from artifacts above):
# - server.py
# - tools/__init__.py
# - tools/search.py
# - tools/scraping.py
# - utils/__init__.py
# - utils/helpers.py
# - requirements.txt
# - render.yaml
# - .gitignore
# - README.md

Step 2: Push to GitHub

git init
git add .
git commit -m "Initial commit: Modular MCP Web Scraper"
git remote add origin https://github.com/YOUR_USERNAME/mcp-web-scraper.git
git push -u origin main

Step 3: Deploy on Render

1. Go to render.com
2. Click "New +" → "Web Service"
3. Connect your GitHub repository
4. Render auto-detects render.yaml
5. Click "Create Web Service"
6. Wait 2-3 minutes ✨

Step 4: Get Your URL

Your service: https://your-app.onrender.com MCP endpoint: https://your-app.onrender.com/mcp

🔌 Connect to Claude Desktop

Config Location

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Configuration

{
  "mcpServers": {
    "web-scraper": {
      "type": "streamable-http",
      "url": "https://your-app.onrender.com/mcp"
    }
  }
}

Restart Claude Desktop after updating config!

💻 Local Development

# Clone and setup
git clone https://github.com/YOUR_USERNAME/mcp-web-scraper.git
cd mcp-web-scraper

# Create virtual environment
python3 -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run server
python server.py

Server runs at http://localhost:8000/mcp

Test Locally

# List tools
curl -X POST http://localhost:8000/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

# Test web search
curl -X POST http://localhost:8000/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc":"2.0",
    "id":2,
    "method":"tools/call",
    "params":{
      "name":"web_search",
      "arguments":{"query":"AI news","max_results":3}
    }
  }'

🛠️ Adding New Tools

1. Search Tool Example

Edit tools/search.py:

@mcp.tool()
def my_custom_search(query: str) -> dict:
    """Your custom search tool"""
    # Implementation here
    return {"success": True, "data": []}

2. Scraping Tool Example

Edit tools/scraping.py:

@mcp.tool()
def my_custom_scraper(url: str) -> dict:
    """Your custom scraper"""
    # Implementation here
    return {"success": True, "content": ""}

3. Deploy Changes

git add .
git commit -m "Add new tools"
git push origin main
# Render auto-deploys!

📊 Monitoring

View Logs

1. Render Dashboard → Your Service
2. Click "Logs" tab
3. View real-time logs

Health Check

curl https://your-app.onrender.com/health

🎯 Architecture Benefits

✅ Modular Design

• Separation of concerns - Each file has one responsibility
• Easy to maintain - Find and update code quickly
• Scalable - Add new tools without touching existing code

✅ Clean Code

• Type hints - Better IDE support and error catching
• Logging - Track all operations
• Error handling - Graceful failures with detailed errors

✅ Production Ready

• Official MCP SDK - FastMCP framework
• Streamable HTTP - Single endpoint communicatio