Web Scout MCP 🌐

Overview

Welcome to Web Scout MCP, a powerful server extension for MCP (Minecraft Server) that enhances your environment with web search and content extraction capabilities. This tool integrates DuckDuckGo search functionality and URL content extraction, enabling AI assistants to search the web and extract webpage content programmatically.

Features

• DuckDuckGo Integration: Utilize the privacy-focused search engine for retrieving search results.
• Content Extraction: Extract relevant content from webpages seamlessly.
• AI Assistant Compatibility: Perfect for integrating into AI assistants, enhancing their capabilities.
• Lightweight and Fast: Designed to run efficiently within your MCP environment.
• Easy to Use: Simple setup and straightforward API for developers.

Getting Started

To get started, download the latest release from the Releases section. Follow the instructions provided to set up the extension in your MCP environment.

Prerequisites

Before you begin, ensure you have the following:

• MCP Server: This extension works with MCP server versions 1.0 and above.
• Node.js: Make sure you have Node.js installed on your machine. You can download it from nodejs.org.
• npm: Node Package Manager is included with Node.js. You will need it to install dependencies.

Installation

1. Clone the Repository:

   git clone https://github.com/suebksnn/web-scout-mcp.git
   cd web-scout-mcp
   

2. Install Dependencies:

   npm install
   

3. Configure the Extension: Modify the configuration file to set your preferences for search parameters and extraction settings.

4. Run the Server: Start your MCP server with the following command:

   npm start
   

5. Access the API: Use the provided API endpoints to perform web searches and content extraction.

Usage

Web Scout MCP provides several endpoints to interact with:

• Search Endpoint: Use this to perform a search query.
• Extraction Endpoint: Use this to extract content from a given URL.

Example Requests

Search Example:

curl -X GET "http://localhost:3000/search?q=example"

Content Extraction Example:

curl -X GET "http://localhost:3000/extract?url=https://example.com"

API Documentation

For detailed API documentation, please refer to the docs folder in this repository. This includes all available endpoints, request parameters, and response formats.

Topics

This project covers a range of topics, including:

• AI Assistant Integration
• Content Extraction Techniques
• Web Crawling Strategies
• Web Scraping Best Practices

Contributing

We welcome contributions to improve Web Scout MCP. To contribute:

1. Fork the repository.
2. Create a new branch.
3. Make your changes.
4. Submit a pull request.

Please ensure your code follows the project's coding standards and includes relevant tests.

Issues

If you encounter any issues, please check the Issues section to see if your problem has already been reported. If not, feel free to create a new issue.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Acknowledgments

• Thanks to the DuckDuckGo team for their API and commitment to privacy.
• Thanks to the contributors and users for their feedback and support.

Contact

For questions or suggestions, please reach out via the Issues section or contact the repository owner directly.

Conclusion

Web Scout MCP is designed to enhance your MCP server experience by integrating web search and content extraction capabilities. Download the latest version from the Releases section and start exploring the possibilities today.

Feel free to explore, modify, and contribute to this project. Your input is invaluable in making Web Scout MCP a robust tool for everyone. Happy coding!