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Jonathan Hefner 6eb82b5562 Refactor server startup functions Rename `startServer` to `startStreamableHTTPServer` and add a new `startStdioServer` helper to make the transport type explicit. Remove the `ServerOptions` interface in favor of reading `PORT` directly from the environment inside the function (defaulting to `3001`). Also update Python examples to default to port `3001` for consistency. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>		2026-01-24 09:27:54 -06:00
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tsconfig.json	Add system-monitor-server example	2025-12-04 14:32:41 -06:00
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vite.config.ts	Add system-monitor-server example	2025-12-04 14:32:41 -06:00

README.md

Example: System Monitor App

A demo MCP App that displays real-time OS metrics with a stacked area chart for per-core CPU usage and a bar gauge for memory.

MCP Client Configuration

Add to your MCP client configuration (stdio transport):

{
  "mcpServers": {
    "system-monitor": {
      "command": "npx",
      "args": [
        "-y",
        "--silent",
        "--registry=https://registry.npmjs.org/",
        "@modelcontextprotocol/server-system-monitor",
        "--stdio"
      ]
    }
  }
}

Features

Per-Core CPU Monitoring: Stacked area chart showing individual CPU core utilization over a 1-minute sliding window
Memory Usage: Horizontal bar gauge with color-coded thresholds (green/yellow/red)
System Info: Hostname, platform, and uptime display
Auto-Polling: Automatically starts monitoring on load with 2-second refresh interval
Theme Support: Adapts to light/dark mode preferences

Running

Install dependencies:
```
npm install
```

Build and start the server:

npm run start:http  # for Streamable HTTP transport
# OR
npm run start:stdio  # for stdio transport

View using the basic-host example or another MCP Apps-compatible host.

Architecture

Server (`server.ts`)

Exposes a single get-system-stats tool that returns:

Raw per-core CPU timing data (idle/total counters)
Memory usage (used/total/percentage)
System info (hostname, platform, uptime)

The tool is linked to a UI resource via _meta.ui.resourceUri.

App (`src/mcp-app.ts`)

Uses Chart.js for the stacked area chart visualization
Polls the server tool every 2 seconds
Computes CPU usage percentages client-side from timing deltas
Maintains a 30-point history (1 minute at 2s intervals)
Updates all UI elements on each poll