ai-mldeveloper-tools

Learning Hour Generator

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 by analyzing GitHub repositories for code smells and creating contextual learning content with Miro board layouts.

github stars

6

Uses proven 4C Learning Model structureAnalyzes real codebases for contextCreates visual Miro boards automatically

best for

  • / Technical coaches facilitating team learning sessions
  • / Team leads improving their team's technical practices
  • / Developers organizing coding dojos or practice sessions

capabilities

  • / Generate Learning Hour session plans with the 4C model
  • / Analyze GitHub repositories for code smells and issues
  • / Create interactive Miro boards for team sessions
  • / Generate code examples and practice exercises
  • / Structure deliberate practice activities for teams

what it does

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.

about

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.

how to install

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.

license

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.

readme

learning-hour-mcp

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.

What is this?

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.

Who is this for?

  • Technical Coaches facilitating team learning sessions
  • Team Leads wanting to improve their team's technical practices
  • Developers organizing coding dojos or practice sessions

Installation

Prerequisites

  1. Claude Desktop - Install the desktop app
  2. Anthropic API Key - Sign up and create a key ($5 free credit for new accounts)

Complete Setup

Choose your preferred editor:

Claude Desktop

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:

  1. Open Claude Desktop settings (cmd/ctrl + ,)
  2. Go to "Developer" → "Edit Config"
  3. Paste the configuration above
  4. Replace your-anthropic-key with your actual key
  5. Save and restart Claude Desktop

VSCode

Add 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:

  1. Install the MCP VSCode Extension
  2. Open settings.json (Cmd/Ctrl+Shift+P → "Preferences: Open Settings (JSON)")
  3. Add the configuration above
  4. Replace tokens with your actual values
  5. Reload VSCode window (Cmd/Ctrl+Shift+P → "Developer: Reload Window")

Cursor

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:

  1. Open Cursor settings (Cmd/Ctrl + ,)
  2. Click on "Features" → "Claude" → "Advanced"
  3. Add the MCP server configuration
  4. Replace tokens with your actual values
  5. Restart Cursor

Required: Only ANTHROPIC_API_KEY is required. The other tokens enable additional features.

Quick Start

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:

  • Opening connection activity
  • Concept introduction
  • Hands-on coding exercise
  • Reflection and commitment

Available Tools

generate_session

Generate a complete Learning Hour session plan with activities following the 4C model (Connect, Concept, Concrete, Conclusion).

{
  "topic": "Feature Envy"
}

generate_code_example

Create before/after code examples for a specific topic.

{
  "topic": "Extract Method",
  "language": "typescript"
}

create_miro_board

Create 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_boards

List all Miro boards accessible with your token (requires MIRO_ACCESS_TOKEN).

{
  "limit": 50,  // Optional, max 50
  "cursor": "optional-pagination-cursor"
}

get_miro_board

Get details about a specific Miro board (requires MIRO_ACCESS_TOKEN).

{
  "boardId": "board-id-to-get"
}

delete_miro_board

Delete a Miro board (requires MIRO_ACCESS_TOKEN). Use with caution!

{
  "boardId": "board-id-to-delete",
  "confirm": true  // Required safety check
}

analyze_repository

Find real code examples in GitHub repositories (requires GITHUB_TOKEN).

analyze_tech_stack

Analyze a repository's technology stack to create team-specific content (requires GITHUB_TOKEN).

Optional Features

Enable Miro Board Creation

Transform your Learning Hour into a visual, interactive workshop board

Get a Miro token:

  • Go to Miro Apps
  • Create a new app (name it "Learning Hours")
  • Copy the access token
  • Add as MIRO_ACCESS_TOKEN in your config

Enable Repository Analysis

Find real code examples from your team's actual codebase

Create a GitHub Personal Access Token:

  • Name: "Learning Hour MCP"
  • Expiration: 90 days (recommended)
  • Permissions: repo (read access)
  • Add as GITHUB_TOKEN in your config

Learn More

Troubleshooting

"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.

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

MIT

FAQ

What is the Learning Hour Generator MCP server?
Learning Hour Generator is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Learning Hour Generator?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Learning Hour Generator is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Learning Hour Generator against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Learning Hour Generator is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Learning Hour Generator reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Learning Hour Generator for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Learning Hour Generator surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Learning Hour Generator has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Learning Hour Generator benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Learning Hour Generator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Learning Hour Generator is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.