Learning Hour MCP Server

MCP server for generating Learning Hour content and Miro boards for Technical Coaches

Local serverstdioTypeScript

What is the Learning Hour MCP MCP server?

Learning Hour MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. MCP server for generating Learning Hour content and Miro boards for Technical Coaches.

What you get

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.

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

What the assistant can call

Once Learning Hour MCP is connected, these are the calls the assistant has available:

  • Prerequisites — The Prerequisites tool exposed by this server
  • VSCode — The VSCode tool exposed by this server
  • Cursor — The Cursor tool exposed by this server
  • generate_session — Generate a complete Learning Hour session plan with activities following the 4C model (Connect, Concept, Concrete, Conclusion)
  • generate_code_example — The generate_code_example tool exposed by this server
  • create_miro_board — Create a new Miro board or add frames to an existing board (requires MIRO_ACCESS_TOKEN)
  • list_miro_boards — List all Miro boards accessible with your token (requires MIRO_ACCESS_TOKEN)
  • get_miro_board — Get details about a specific Miro board (requires MIRO_ACCESS_TOKEN)
  • delete_miro_board — Delete a Miro board (requires MIRO_ACCESS_TOKEN). Use with caution!
  • 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)

Configuration and credentials

You will need 3 environment variables: ANTHROPIC_API_KEY, MIRO_ACCESS_TOKEN, GITHUB_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

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

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 11 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Learning Hour MCP.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the learning hour mcp mcp server does with a few real requests.

Choosing this one

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Learning Hour MCP's toolset — Prerequisites, VSCode, Cursor and 8 more — is a fair guide to whether it matches your workflow. It is maintained by SDiamante13; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
PrerequisitesThe Prerequisites tool exposed by this server.
VSCodeThe VSCode tool exposed by this server.
CursorThe Cursor tool exposed by this server.
generate_sessionGenerate a complete Learning Hour session plan with activities following the 4C model (Connect, Concept, Concrete, Conclusion).
generate_code_exampleThe generate_code_example tool exposed by this server.
create_miro_boardCreate a new Miro board or add frames to an existing board (requires MIRO_ACCESS_TOKEN).
list_miro_boardsList all Miro boards accessible with your token (requires MIRO_ACCESS_TOKEN).
get_miro_boardGet details about a specific Miro board (requires MIRO_ACCESS_TOKEN).
delete_miro_boardDelete a Miro board (requires MIRO_ACCESS_TOKEN). Use with caution!
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).

How to install the Learning Hour MCP MCP server

{
  "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 as documented by the project. Restart the client after saving.

Configuration

  1. Claude Desktop - Install the desktop app 2. Anthropic API Key - Sign up and create a key ($5 free credit for new accounts)
VariableDescriptionRequired
ANTHROPIC_API_KEYCredential the server authenticates with.Yes
MIRO_ACCESS_TOKENCredential the server authenticates with.Yes
GITHUB_TOKENCredential the server authenticates with.Yes

Example prompts to try

  • Use Learning Hour MCP to Prerequisites.
  • Use Learning Hour MCP to VSCode.
  • Use Learning Hour MCP to Cursor.

Frequently asked questions

It connects Learning Hour MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 11 tools (Prerequisites, VSCode, Cursor, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Learning Hour MCP directly.