ext-apps/examples/system-monitor-server
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Filename Latest commit message Latest commit date
Olivier Chafik 3ac7c7935b
Add RESOURCE_MIME_TYPE constant (#108)
* Add RESOURCE_MIME_TYPE constant

* Update app-bridge.ts

* update syntax
2025-12-09 19:10:56 +01:00
..
src Fix widget layout to use full available width 2025-12-08 14:01:28 +00:00
mcp-app.html Add system-monitor-server example 2025-12-04 14:32:41 -06:00
package.json Smoothen the process of getting started (#103) 2025-12-09 16:15:32 +01:00
README.md Smoothen the process of getting started (#103) 2025-12-09 16:15:32 +01:00
server.ts Add RESOURCE_MIME_TYPE constant (#108) 2025-12-09 19:10:56 +01:00
tsconfig.json Add system-monitor-server example 2025-12-04 14:32:41 -06:00
vite.config.ts Add system-monitor-server example 2025-12-04 14:32:41 -06:00

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.

Initial state CPU data accumulated Extended CPU history

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

  1. Install dependencies:

    npm install
    
  2. Build and start the server:

    npm run start:http  # for Streamable HTTP transport
    # OR
    npm run start:stdio  # for stdio transport
    
  3. 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[RESOURCE_URI_META_KEY].

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