Manually initiate a learning cycle to analyze patterns, improve machine learning models, and enhance predictive capabilities within the MCP Self-Learning Server.
Retrieve and display all configured AWS credentials, configurations, and profiles available on your machine for managing resources through the aws-mcp server.
Retrieve all configured AWS credentials, configs, and profiles accessible on your machine. Simplify AWS resource management by identifying usable credentials directly.
Analyze interactions to generate personalized learning insights and actionable recommendations, driving continuous improvement and informed decision-making through pattern recognition and machine learning.
Transform Learning Hour session content into a Miro board to visualize and collaborate on technical coaching materials, enabling structured deliberate practice.
Execute JavaScript code to interact with AWS environments using AWS SDK V2, ensuring optimized, error-handled, and concise responses tailored to AWS resource queries.
A learning-focused MCP server that demonstrates how to build arithmetic tools for AI assistants, currently featuring addition functionality with structured input/output.
Generates personalized learning paths by integrating with YouTube, Google Drive, and Notion to create comprehensive learning experiences based on user goals.
An MCP server that generates comprehensive Learning Hour content for Technical Coaches, enabling teams to practice technical excellence through structured deliberate practice sessions.