Analyze interactions to generate personalized learning insights and actionable recommendations, driving continuous improvement and informed decision-making through pattern recognition and machine learning.
Manually initiate a learning cycle to analyze patterns, improve machine learning models, and enhance predictive capabilities within the MCP Self-Learning Server.
Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.