Learning Hour MCP
An MCP service that helps technical coaches create structured learning hour meeting content, following the 4C learning model to generate a complete 60 - minute technical practice course plan including connection, concept, practice, and conclusion.
rating : 2.5 points
downloads : 0
What is Learning Hour MCP?
This is an AI assistant specifically designed for technical coaches, capable of generating complete learning session content. It helps create structured 60 - minute practice sessions, allowing development teams to improve coding skills through deliberate practice, following the 4C learning model (Connect, Concept, Concrete Practice, Conclusion).How to use Learning Hour MCP?
After installation and configuration, simply make a request to Claude, such as 'Create a learning session on extract method refactoring', and the AI will generate a complete meeting plan, code examples, and even create an interactive Miro whiteboard.Applicable Scenarios
Suitable for scenarios such as technical coaches hosting team learning meetings, team leaders improving team technical practices, and developers organizing programming dojos or practice meetings.Main Features
Generate Complete Learning Sessions
Create a complete 60 - minute learning plan following the 4C model (Connect, Concept, Concrete Practice, Conclusion).
Code Example Generation
Generate before - and - after code examples for specific technical topics, supporting multiple programming languages.
Miro Whiteboard Integration
Automatically create an interactive Miro whiteboard to visualize learning content (requires a Miro access token).
Code Repository Analysis
Analyze actual code in a GitHub repository and create team - specific learning content (requires a GitHub token).
Advantages
Based on the mature 4C learning model to ensure learning effectiveness
Supports multiple integrations (Miro, GitHub) to enhance interactivity
Generates real and usable code examples, close to actual work
Saves the preparation time of technical coaches and improves efficiency
Limitations
Requires API key configuration, which may be a certain threshold for non - technical users
Advanced features require additional service tokens (Miro, GitHub)
Depends on the quality and response speed of Claude AI
How to Use
Install Claude Desktop
Download and install the Claude desktop application.
Get an Anthropic API Key
Register an Anthropic account and create an API key (new users have a $5 free quota).
Configure the MCP Server
Add corresponding configurations according to the editor you use (Claude Desktop, VSCode, or Cursor).
Optional Configuration
Configure Miro and GitHub tokens as needed to enable advanced features.
Usage Examples
Refactoring Technology Learning Session
Create a learning meeting on extract method refactoring for the team, including theoretical explanations and practical exercises.
Code Quality Improvement
Create improvement exercises for the Feature Envy code smell.
Visual Learning
Convert learning content into an interactive Miro whiteboard to enhance team collaboration.
Frequently Asked Questions
Why does the 'Tool not found' error occur?
What if the API key is invalid?
What if Miro whiteboard creation fails?
Do I need all optional tokens?
Related Resources
Diamante Technical Coaching
Technical coaching resources and refactoring growth newsletter
Samman Coaching Organization
Technical coaching resources and learning session guides
Learning Session Catalog
A complete catalog of various learning session topics
4C Learning Model
Detailed explanation of the Connect, Concept, Concrete Practice, Conclusion learning model

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