@schoox/schoox-mcp-server

MCP server for querying Schoox LMS data via AI assistants.

Connect your AI assistant to your Schoox academy and use natural language to query users, courses, enrollments, progress, events, and more -- without writing API code.

Prerequisites

• Node.js 18+ (download)

• Schoox API key and Academy ID (available from your Schoox academy admin settings)

Related MCP server: Canvas LMS MCP Server

Quick Start

Claude Desktop

Add to your Claude Desktop config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "schoox": {
      "command": "/usr/local/bin/npx",
      "args": ["-y", "@schoox/schoox-mcp-server"],
      "env": {
        "SCHOOX_API_KEY": "your-api-key",
        "SCHOOX_ACADEMY_ID": "123456"
      }
    }
  }
}

Note: Claude Desktop uses a minimal PATH. If you use nvm or Volta, run which npx to find your full path and replace /usr/local/bin/npx above.

Claude Code

Add to ~/.claude.json (global, all projects) or .mcp.json in your project root (project-level):

{
  "mcpServers": {
    "schoox": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@schoox/schoox-mcp-server"],
      "env": {
        "SCHOOX_API_KEY": "your-api-key",
        "SCHOOX_ACADEMY_ID": "123456"
      }
    }
  }
}

Or use the CLI:

claude mcp add schoox -e SCHOOX_API_KEY=your-api-key -e SCHOOX_ACADEMY_ID=123456 -- npx -y @schoox/schoox-mcp-server

Cursor

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):

{
  "mcpServers": {
    "schoox": {
      "command": "npx",
      "args": ["-y", "@schoox/schoox-mcp-server"],
      "env": {
        "SCHOOX_API_KEY": "your-api-key",
        "SCHOOX_ACADEMY_ID": "123456"
      }
    }
  }
}

Other MCP Clients

Any MCP-compatible client can use the standard stdio configuration:

{
  "mcpServers": {
    "schoox": {
      "command": "npx",
      "args": ["-y", "@schoox/schoox-mcp-server"],
      "env": {
        "SCHOOX_API_KEY": "your-api-key",
        "SCHOOX_ACADEMY_ID": "123456"
      }
    }
  }
}

Example

Once configured, ask your AI assistant questions like:

"Show me all active courses in my academy"

"How many users completed the Safety Training course this month?"

"List all events scheduled for next week"

The assistant uses the Schoox MCP tools automatically to fetch data from your academy and respond in natural language.

Available Tools

Configuration

All configuration is via environment variables:

License

MIT