saralegui-solutions/mcp-self-learning-server
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The MCP Self-Learning Server is a sophisticated server designed to autonomously learn from interactions, optimize performance, and continuously improve its knowledge base through pattern recognition and machine learning techniques.
Tools
Functions exposed to the LLM to take actions
analyze_pattern
Analyze and learn from interaction patterns.
get_insights
Get current learning analytics and insights.
trigger_learning
Manually trigger a learning cycle.
export_knowledge
Export learned knowledge to file.
import_knowledge
Import knowledge from external source.
optimize_tool
Get optimization suggestions for specific tools.
predict_next_action
Get predictive suggestions based on current context.
get_performance_metrics
Get detailed performance analytics.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client