ola172/web-search-mcp-server

Search Tool

Overview

Search Tool is a modular Python framework for performing advanced web searches, scraping content from search results, and analyzing the retrieved information using AI-powered models. The project is designed for extensibility, allowing easy integration of new search engines, scrapers, and analyzers.

Features

• Custom Site Search: Search within a specified list of websites.
• Custom Domain Search: Restrict searches to specific domains (e.g., .edu, .gov).
• General Web Search: Perform open web searches.
• Content Scraping: Extracts main textual content from URLs using trafilatura.
• AI Analysis: Summarizes and analyzes scraped content using OpenAI models.
• Validation: Ensures URLs are valid before processing.
• Extensible Architecture: Easily add new searchers, scrapers, or analyzers.

Project Structure

search_tool/
├── src/
│   ├── analyzer/         # AI-powered analyzers (e.g., OpenAI)
│   ├── core/
│   │   ├── factory/      # Factories for searcher, scraper,    
│   │   ├── interface/    # Abstract interfaces for extensibility
│   │   └── types.py      # Enums and constants
│   ├── mcp_servers/      # MCP server integration
│   ├── models/           # Pydantic models for data validation
│   ├── scraper/          # Web scrapers (e.g., Trafilatura)
│   ├── searcher/         # Search engine integrations
│   ├── tools/            # User-facing tool functions
│   └── utils/            # Utility functions (e.g., URL validation)
├── test.py               # Example/test script
├── requirements.txt      # Python dependencies
├── pyproject.toml        # Project metadata and dependencies
├── .env                  # Environment variables (e.g., API keys)
└── README.md             # Project documentation

Installation

1. Clone the repository:

   git clone https://github.com/ola172/web-search-mcp-server.git
   cd search_tool
   

2. Set up a virtual environment (recommended):

   python3 -m venv .venv
   source .venv/bin/activate
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Configure environment variables:

   • Copy .env.example to .env
   • Add your secrets:

Usage

Core Tools

Each tool validates input, performs the search, scrapes the results, and analyzes the content.

• General Web Search: search_on_web
• Custom Sites Search: search_custom_sites
• Custom Domains Search: search_custom_domain

MCP Server Integration

The project includes an MCP server (web_search_server.py) for exposing search tools as mcp tools.

Extending the Framework

• Add a new searcher: Implement the SearchInterface and register it in SearcherFactory.
• Add a new scraper: Implement the ScraperInterface and register it in ScraperFactory.
• Add a new analyzer: Implement the AnalyzerInterface and register it in AnalyzerFactory.

Configuration

• API Keys: Store sensitive keys (e.g., OpenAI) in the .env file.
• Search Engine IDs: For Google Custom Search, configure API_KEY and SEARCH_ENGINE_ID in the relevant modules.

Dependencies

• openai
• trafilatura
• pydantic
• googlesearch-python
• python-dotenv
• google-api-python-client

See requirements.txt for the full list.

License

This project is for educational and research purposes. Please ensure compliance with the terms of service of any third-party APIs used.

Acknowledgements

• OpenAI
• Trafilatura
• Google Custom Search

For questions or contributions, please open an issue or pull request.