🌐 WebSurfer MCP

🌐 WebSurfer MCP

A powerful Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to fetch and extract readable text content from web pages. This tool provides a secure, efficient, and feature-rich way for AI assistants to access web content through a standardized interface.

✨ Features

• 🔒 Secure URL Validation: Blocks dangerous schemes, private IPs, and localhost domains
• 📄 Smart Content Extraction: Extracts clean, readable text from HTML pages using advanced parsing
• ⚡ Rate Limiting: Built-in rate limiting to prevent abuse (60 requests/minute)
• 🛡️ Content Type Filtering: Only processes supported content types (HTML, plain text, XML)
• 📏 Size Limits: Configurable content size limits (default: 10MB)
• ⏱️ Timeout Management: Configurable request timeouts with validation
• 🔧 Comprehensive Error Handling: Detailed error messages for various failure scenarios
• 🧪 Full Test Coverage: 45+ unit tests covering all functionality

🏗️ Architecture

The project consists of several key components:

Core Components

• MCPURLSearchServer: Main MCP server implementation
• TextExtractor: Handles web content fetching and text extraction
• URLValidator: Validates and sanitizes URLs for security
• Config: Centralized configuration management

Key Features

• Async/Await: Built with modern Python async patterns for high performance
• Resource Management: Proper cleanup of network connections and resources
• Context Managers: Safe resource handling with automatic cleanup
• Logging: Comprehensive logging for debugging and monitoring

🚀 Installation

Prerequisites

• Python 3.12 or higher
• uv package manager (recommended)

Quick Start

1. Clone the repository:

   git clone https://github.com/crybo-rybo/websurfer-mcp
   cd websurfer-mcp
   

2. Install dependencies:

   uv sync
   

3. Verify installation:

   uv run python -c "import mcp_url_search_server; print('Installation successful!')"
   

🎯 Usage

Starting the MCP Server

The server communicates via stdio (standard input/output) and can be integrated with any MCP-compatible client.

# Start the server
uv run run_server.py serve

# Start with custom log level
uv run run_server.py serve --log-level DEBUG

Testing URL Search Functionality

Test the URL search functionality directly:

# Test with a simple URL
uv run run_server.py test --url "https://example.com"

# Test with custom timeout
uv run run_server.py test --url "https://httpbin.org/html" --timeout 15

Example Test Output

{
  "success": true,
  "url": "https://example.com",
  "title": "Example Domain",
  "content_type": "text/html",
  "status_code": 200,
  "text_length": 1250,
  "text_preview": "Example Domain This domain is for use in illustrative examples in documents..."
}

🛠️ Configuration

The server can be configured using environment variables:

Example Configuration

export MCP_DEFAULT_TIMEOUT=15
export MCP_MAX_CONTENT_LENGTH=5242880  # 5MB
uv run run_server.py serve

🧪 Testing

Running All Tests

# Run all tests with verbose output
uv run python -m unittest discover tests -v

# Run tests with coverage (if coverage is installed)
uv run coverage run -m unittest discover tests
uv run coverage report

Running Specific Test Files

# Run only integration tests
uv run python -m unittest tests.test_integration -v

# Run only text extraction tests
uv run python -m unittest tests.test_text_extractor -v

# Run only URL validation tests
uv run python -m unittest tests.test_url_validator -v

Test Results

All 45 tests should pass successfully:

test_content_types_immutable (test_config.TestConfig.test_content_types_immutable) ... ok
test_default_configuration_values (test_config.TestConfig.test_default_configuration_values) ... ok
test_404_error_handling (test_integration.TestMCPURLSearchIntegration.test_404_error_handling) ... ok
...
----------------------------------------------------------------------
Ran 45 tests in 1.827s

OK

🔧 Development

Project Structure

websurfer-mcp/
├── mcp_url_search_server.py  # Main MCP server implementation
├── text_extractor.py         # Web content extraction logic
├── url_validator.py          # URL validation and security
├── config.py                 # Configuration management
├── run_server.py             # Command-line interface
├── run_tests.py              # Test runner utilities
├── tests/                    # Test suite
│   ├── test_integration.py   # Integration tests
│   ├── test_text_extractor.py # Text extraction tests
│   ├── test_url_validator.py # URL validation tests
│   └── test_config.py        # Configuration tests
├── pyproject.toml            # Project configuration
└── README.md                 # This file

🔒 Security Features

URL Validation

• Scheme Blocking: Blocks file://, javascript:, ftp:// schemes
• Private IP Protection: Blocks access to private IP ranges (10.x.x.x, 192.168.x.x, etc.)
• Localhost Protection: Blocks localhost and local domain access
• URL Length Limits: Prevents extremely long URLs
• Format Validation: Ensures proper URL structure

Content Safety

• Content Type Filtering: Only processes supported text-based content types
• Size Limits: Configurable maximum content size (default: 10MB)
• Rate Limiting: Prevents abuse with configurable limits
• Timeout Protection: Configurable request timeouts

📊 Performance

• Async Processing: Non-blocking I/O for high concurrency
• Connection Pooling: Efficient HTTP connection reuse
• DNS Caching: Reduces DNS lookup overhead
• Resource Cleanup: Automatic cleanup prevents memory leaks

🙏 Acknowledgments

• Built with the Model Context Protocol (MCP)
• Uses aiohttp for async HTTP requests
• Leverages trafilatura for content extraction
• Powered by BeautifulSoup for HTML parsing

Happy web surfing with your AI assistant! 🚀