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.
Manually initiate a learning cycle to analyze patterns, improve machine learning models, and enhance predictive capabilities within the MCP Self-Learning Server.
Search Competition Authority decisions in Turkey by title, decision number, publication date, or text. Filter results by decision type for antitrust and competition law research.
Search and retrieve Public Procurement Authority (KİK) decisions for procurement law disputes on Yargı MCP. Filter by decision type, number, date range, applicant, procuring entity, tender subject, or decision text.
Search Australian case law using queries with neutral citation fallbacks. Retrieve structured results with citation metadata and jurisdiction filtering.
Generates personalized learning paths by integrating with YouTube, Google Drive, and Notion to create comprehensive learning experiences based on user goals.
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.