This MCP server implementation provides a simple website fetching tool exposed through the Model Context Protocol. Developed by Kirill Markin, it allows AI assistants to retrieve web page content for analysis and processing. The server is built using Python and the MCP SDK, with support for both local development and deployment on Heroku. It features configurable settings for port, host, and user agent, as well as debug mode options. The implementation is designed to be lightweight and easily extensible, making it suitable for a wide range of applications that require web scraping capabilities, such as content aggregation, data analysis, or information retrieval tasks.
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This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
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