Generate a structured learning path for any programming library based on your experience level. Ideal for beginners, intermediates, or advanced users to progressively master topics with curated resources.
Retrieve the operational mode for a specific subject in MCP Kafka Schema Reg. Useful for backward compatibility; consider using the 'subject://{name}/{context}/{subject}/mode' resource for improved performance.
Manually initiate a learning cycle to analyze patterns, improve machine learning models, and enhance predictive capabilities within the MCP Self-Learning Server.
Retrieve configuration settings for a specific Kafka Schema Registry subject. Supports backward compatibility with options to specify subject, context, and registry.
Change the mode for a specified subject in the Kafka Schema Registry to manage schema compatibility and updates effectively. Input requires subject and mode details.
Retrieve detailed information about a specific subject such as anime, books, or games by providing a subject ID, formatted for easy use and integration.
Generates personalized learning paths by integrating with YouTube, Google Drive, and Notion to create comprehensive learning experiences based on user goals.
A learning-focused MCP server that demonstrates how to build arithmetic tools for AI assistants, currently featuring addition functionality with structured input/output.
Enables autonomous learning from interactions through pattern recognition and machine learning techniques. Continuously improves performance by analyzing tool usage, providing predictive suggestions, and sharing knowledge across MCP servers.