🚀 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 communication

• Stateless - Horizontally scalable

• Health checks - Automatic monitoring

💬 Example Usage in Claude

• "Search for latest quantum computing news"

• "Extract the article from https://example.com/post"

• "Find and scrape top 5 articles about AI safety"

• "Get all links from https://news.ycombinator.com"

• "Do comprehensive research on renewable energy"

🐛 Troubleshooting

Import Errors

# Ensure you're in project root
cd mcp-web-scraper

# Check Python path
export PYTHONPATH="${PYTHONPATH}:$(pwd)"

# Run server
python server.py

Tools Not Registered

Check logs for "Registering X tools..." messages

Module Not Found

Ensure all __init__.py files exist in:

• tools/__init__.py

• utils/__init__.py

📚 Resources

• MCP Documentation

• FastMCP

• Render Docs

📄 License

MIT License - Free to use and modify!

Modular ✅ | Production-Ready ✅ | Easy to Extend ✅