AI Content Categorization
Leverages AI to categorize, tag, and enhance educational course content.
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This Model Context Protocol (MCP) server provides intelligent AI-driven tools specifically designed for educational content curation. Powered by GPT-4, it offers capabilities to automatically suggest categories, recommend context-aware tags, and optimize titles and descriptions for course materials. It ensures seamless integration with MCP clients like Claude Desktop, streamlining the management and improvement of learning resources.
Características Principales
- Smart Categorization for course content
- Intelligent Tagging with GPT-4 recommendations
- Content Optimization for titles and descriptions
- Seamless MCP Integration with clients like Claude Desktop
- 0 GitHub stars
Casos de Uso
- Suggest categories for new or existing educational content.
- Generate relevant tags for course materials to improve searchability.
- Optimize titles and descriptions of learning content for clarity and best practices.
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