Hardware Monitor MCP Server

A local Model Context Protocol (MCP) server that exposes real-time system metrics to AI assistants like Claude Desktop.

Ask Claude about CPU, RAM, disk, and battery — no separate monitoring app needed.

Features

• CPU & RAM — live utilization percentages
• Disk — usage and free space (Windows C:\ drive)
• Battery — charge level and power source (laptops)
• Alerts — warns when CPU or RAM exceeds 80%

MCP Tools

Tool	Description
get_system_metrics	Full hardware snapshot
check_performance_thresholds	Performance warning if CPU/RAM > 80%

Quick Start

1. Install

git clone https://github.com/YOUR_USERNAME/cpu-mcp-server.git
cd cpu-mcp-server

python -m venv venv
venv\Scripts\activate        # Windows
# source venv/bin/activate   # macOS/Linux

pip install -r requirements.txt

2. Configure Claude Desktop

Edit %APPDATA%\Claude\claude_desktop_config.json and add:

{
  "mcpServers": {
    "hardware-monitor": {
      "command": "python",
      "args": ["C:\\path\\to\\cpu-mcp-server\\server.py"],
      "disabled": false,
      "autoStart": true
    }
  }
}

Use the full path to python.exe (or your venv Python) if needed. Restart Claude Desktop.

3. Try it

• "Get my current system metrics"
• "What's my CPU usage right now?"
• "Check if my system performance is normal"

Requirements

• Python 3.10+
• Claude Desktop (or any MCP client with stdio support)
• Windows (disk path is C:\; other metrics work cross-platform)

Docs

• Setup Instructions — detailed Windows setup & troubleshooting
• Platform Overview — features, use cases, tech stack

Tech Stack

• Python · FastMCP · psutil · MCP stdio transport

License

MIT (add a LICENSE file if you choose a different license)