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Generates structured reading summaries by searching and extracting content from educational articles on todamateria.com.br.

About

This tool functions as a Model Context Protocol (MCP) server designed to streamline the process of gathering and summarizing educational content. It offers capabilities to search for articles on todamateria.com.br by keyword, extract the full text and metadata from specific article URLs, and, most notably, generate detailed, structured reading summaries. These summaries include key elements like titles, abstracts, keywords, main themes, and principal points, making it an efficient solution for academic research and knowledge management.

Key Features

  • Save generated reading summaries in JSON format to local files.
  • Extract comprehensive content from specified web pages, including title, text, images, author, and citation.
  • Search and retrieve educational articles from todamateria.com.br based on keywords.
  • Automate the creation of structured reading summaries with key details like main points and keywords.
  • 0 GitHub stars
  • Support custom prompts for tailored summary generation.

Use Cases

  • Efficiently gathering and summarizing educational content for personal learning.
  • Integrating with AI assistants for enhanced knowledge management workflows.
  • Automating the creation of study notes for academic research.