Which integrations are available for this server?

Provides real-time monitoring of NVIDIA GPU statistics, including utilization, temperature, and memory usage.

How do I use MCP System Info Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP System Info Server Show me my current CPU, memory, and GPU usage." That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MCP System Info Server

A lightweight MCP (Model Context Protocol) server that provides real-time system information including CPU, memory, disk, and GPU statistics.

Features

Category	Information Provided
System	System name, node name, OS release/version, machine type, processor
CPU	Processor name, physical/logical cores, frequency, usage percentage
Memory	Total, available, used memory (GB), utilization percentage
Disk	Total, used, free space (GB), utilization percentage
GPU	Name, memory (total/used/free), utilization, temperature (NVIDIA only)

Prerequisites

Python 3.10+
uv - Fast Python package manager

Installation

# Clone or navigate to the project directory
cd mcp

# Install dependencies (handled automatically by uv)
uv sync

Screenshots

alt text

Usage

Running Standalone

uv run sysinfo.py

Testing with MCP Inspector

uv run mcp dev sysinfo.py

Claude Desktop Configuration

Add this to your Claude Desktop configuration file:

Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "sysinfo": {
      "command": "uv",
      "args": [
        "--directory",
        "PATH OF THE FOLDER",
        "run",
        "sysinfo.py"
      ]
    }
  }
}

Available Tools

`get_sysinfo`

Returns comprehensive system information as a JSON object:

{
  "system": {
    "system_name": "Windows",
    "node_name": "DESKTOP-XXX",
    "os_release": "10",
    "os_version": "10.0.19045",
    "machine_type": "AMD64",
    "processor": "Intel64 Family 6..."
  },
  "cpu": {
    "processor_name": "Intel Core i7-10700K",
    "physical_cores": 8,
    "logical_cores": 16,
    "cpu_frequency_mhz": 3800.0,
    "cpu_usage_percent": 12.5
  },
  "memory": {
    "total_gb": 32.0,
    "available_gb": 18.5,
    "used_gb": 13.5,
    "utilization_percent": 42.2
  },
  "disk": {
    "total_gb": 500.0,
    "used_gb": 280.0,
    "free_gb": 220.0,
    "utilization_percent": 56.0
  },
  "gpu": [
    {
      "id": 0,
      "name": "NVIDIA GeForce RTX 3080",
      "memory_total_mb": 10240.0,
      "memory_used_mb": 2048.0,
      "memory_free_mb": 8192.0,
      "gpu_utilization_percent": 15.0,
      "temperature_c": 45
    }
  ]
}