by sdiamante13
Learning Hour Generator creates 60-minute technical practice sessions for dev teams using GitHub analysis and the 4C Lea
Generates structured 60-minute technical practice sessions for software development teams using the 4C Learning Model. Analyzes GitHub repositories for code smells and creates contextual learning content with optional Miro board layouts.
Learning Hour Generator is a community-built MCP server published by sdiamante13 that provides AI assistants with tools and capabilities via the Model Context Protocol. Learning Hour Generator creates 60-minute technical practice sessions for dev teams using GitHub analysis and the 4C Lea It is categorized under ai ml, developer tools.
You can install Learning Hour Generator in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Learning Hour Generator is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Learning Hour Generator is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: Learning Hour Generator surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired Learning Hour Generator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend Learning Hour Generator for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Learning Hour Generator against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Learning Hour Generator benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Learning Hour Generator is the kind of server we cite when onboarding engineers to host + tool permissions.
We wired Learning Hour Generator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Learning Hour Generator reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Strong directory entry: Learning Hour Generator surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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Generate Learning Hour content for Technical Coaches using AI. Create structured practice sessions that help development teams master technical excellence through the 4C Learning Model.
An MCP server that helps Technical Coaches run Learning Hours - structured 60-minute practice sessions where teams improve their coding skills through deliberate practice. It generates session plans, code examples, and can even create interactive Miro boards.
Choose your preferred editor:
Add to your Claude Desktop configuration:
{
"mcpServers": {
"learning-hour": {
"command": "npx",
"args": ["-y", "learning-hour-mcp"],
"env": {
"ANTHROPIC_API_KEY": "your-anthropic-key",
"MIRO_ACCESS_TOKEN": "your-miro-token-optional",
"GITHUB_TOKEN": "your-github-token-optional"
}
}
}
}
Configuration steps:
your-anthropic-key with your actual keyAdd to your VSCode settings.json:
{
"mcp.servers": {
"learning-hour": {
"command": "npx",
"args": ["-y", "learning-hour-mcp"],
"env": {
"ANTHROPIC_API_KEY": "your-anthropic-key",
"MIRO_ACCESS_TOKEN": "your-miro-token-optional",
"GITHUB_TOKEN": "your-github-token-optional"
}
}
}
}
Configuration steps:
Add to your Cursor configuration:
{
"mcpServers": {
"learning-hour": {
"command": "npx",
"args": ["-y", "learning-hour-mcp"],
"env": {
"ANTHROPIC_API_KEY": "your-anthropic-key",
"MIRO_ACCESS_TOKEN": "your-miro-token-optional",
"GITHUB_TOKEN": "your-github-token-optional"
}
}
}
}
Configuration steps:
Required: Only ANTHROPIC_API_KEY is required. The other tokens enable additional features.
After installation, try this in Claude:
"Use the learning hour tools to create a session about the Extract Method refactoring"
Claude will generate a complete 60-minute session plan with:
generate_sessionGenerate a complete Learning Hour session plan with activities following the 4C model (Connect, Concept, Concrete, Conclusion).
{
"topic": "Feature Envy"
}
generate_code_exampleCreate before/after code examples for a specific topic.
{
"topic": "Extract Method",
"language": "typescript"
}
create_miro_boardCreate a new Miro board or add frames to an existing board (requires MIRO_ACCESS_TOKEN).
{
"sessionContent": { /* from generate_session */ },
"existingBoardId": "optional-board-id" // If provided, adds frames to existing board
}
list_miro_boardsList all Miro boards accessible with your token (requires MIRO_ACCESS_TOKEN).
{
"limit": 50, // Optional, max 50
"cursor": "optional-pagination-cursor"
}
get_miro_boardGet details about a specific Miro board (requires MIRO_ACCESS_TOKEN).
{
"boardId": "board-id-to-get"
}
delete_miro_boardDelete a Miro board (requires MIRO_ACCESS_TOKEN). Use with caution!
{
"boardId": "board-id-to-delete",
"confirm": true // Required safety check
}
analyze_repositoryFind real code examples in GitHub repositories (requires GITHUB_TOKEN).
analyze_tech_stackAnalyze a repository's technology stack to create team-specific content (requires GITHUB_TOKEN).
Transform your Learning Hour into a visual, interactive workshop board
Get a Miro token:
MIRO_ACCESS_TOKEN in your configFind real code examples from your team's actual codebase
Create a GitHub Personal Access Token:
repo (read access)GITHUB_TOKEN in your config"Tool not found" error: Make sure you restarted Claude Desktop after adding the configuration.
"Invalid API key": Check that you copied the entire key including any prefixes (sk-ant-...).
Miro board not creating: Check that your MIRO_ACCESS_TOKEN is valid and has board creation permissions.
See CONTRIBUTING.md for development setup and guidelines.
MIT
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.