CLIO Node Hardware
io.github.iowarp/node-hardware-mcp
Documentation
Node Hardware MCP Server
Part of CLIO Kit - Gnosis Research Center
Node Hardware MCP is a Model Context Protocol server that enables LLMs to monitor and analyze system hardware information including CPU specifications, memory usage, disk performance, network interfaces, GPU details, and sensor data for both local and remote nodes via SSH connections, providing c...
Quick Start
uvx clio-kit mcp-server node-hardware
Documentation
- Full Documentation: CLIO Kit Website
- Installation Guide: See INSTALLATION.md
- Contributing: See Contribution Guide
Description
Node Hardware MCP is a Model Context Protocol server that enables LLMs to monitor and analyze system hardware information including CPU specifications, memory usage, disk performance, network interfaces, GPU details, and sensor data for both local and remote nodes via SSH connections, providing comprehensive hardware monitoring and performance analysis capabilities.
🛠️ Installation
Requirements
- Python 3.10 or higher
- uv package manager (recommended)
- SSH client (for remote node capabilities)
Install in Cursor
Go to: Settings -> Cursor Settings -> MCP -> Add new global MCP server
Pasting the following configuration into your Cursor ~/.cursor/mcp.json file is the recommended approach. You may also install in a specific project by creating .cursor/mcp.json in your project folder. See Cursor MCP docs for more info.
{
"mcpServers": {
"node-hardware-mcp": {
"command": "uvx",
"args": ["clio-kit", "mcp-server", "node-hardware"]
}
}
}
Install in VS Code
Add this to your VS Code MCP config file. See VS Code MCP docs for more info.
"mcp": {
"servers": {
"node-hardware-mcp": {
"type": "stdio",
"command": "uvx",
"args": ["clio-kit", "mcp-server", "node-hardware"]
}
}
}
Install in Claude Code
Run this command. See Claude Code MCP docs for more info.
claude mcp add node-hardware-mcp -- uvx clio-kit mcp-server node-hardware
Install in Claude Desktop
Add this to your Claude Desktop claude_desktop_config.json file. See Claude Desktop MCP docs for more info.
{
"mcpServers": {
"node-hardware-mcp": {
"command": "uvx",
"args": ["clio-kit", "mcp-server", "node-hardware"]
}
}
}
Manual Setup
Linux/macOS:
CLONE_DIR=$(pwd)
git clone https://github.com/iowarp/clio-kit.git
uv --directory=$CLONE_DIR/clio-kit/clio-kit-mcp-servers/node-hardware run node-hardware-mcp --help
Windows CMD:
set CLONE_DIR=%cd%
git clone https://github.com/iowarp/clio-kit.git
uv --directory=%CLONE_DIR%\clio-kit\clio-kit-mcp-servers\node-hardware run node-hardware-mcp --help
Windows PowerShell:
$env:CLONE_DIR=$PWD
git clone https://github.com/iowarp/clio-kit.git
uv --directory=$env:CLONE_DIR\clio-kit\clio-kit-mcp-servers\node-hardware run node-hardware-mcp --help
Capabilities
get_cpu_info
Description: Get CPU specifications, core counts, frequencies, and per-core usage. Hints: read-only, idempotent Tags: cpu, hardware
get_memory_info
Description: Get RAM and swap capacity, usage percentages, and availability. Hints: read-only, idempotent Tags: hardware, memory
get_system_info
Description: Get OS details, hostname, uptime, and active users. Hints: read-only, idempotent Tags: hardware, system
get_disk_info
Description: Get disk partitions, usage statistics, and I/O counters. Hints: read-only, idempotent Tags: disk, hardware
get_network_info
Description: Get network interfaces, IP addresses, and I/O statistics. Hints: read-only, idempotent Tags: hardware, network
get_gpu_info
Description: Get GPU model, memory, temperature, and utilization via nvidia-smi/rocm-smi. Hints: read-only, idempotent Tags: gpu, hardware
get_sensor_info
Description: Get temperature, fan speed, and battery sensor readings. Hints: read-only, idempotent Tags: hardware, sensor
get_process_info
Description: Get running processes with CPU, memory, and status details. Hints: read-only, idempotent Tags: hardware, process
get_performance_info
Description: Get real-time CPU, memory, disk, and network performance metrics. Hints: read-only, idempotent Tags: hardware, performance
get_remote_node_info
Description: Collect hardware info from a remote node via SSH. Supports component filtering. Hints: read-only, idempotent Tags: hardware, remote, ssh
health_check
Description: Verify server health and hardware monitoring capability status. Hints: read-only, idempotent Tags: diagnostics, hardware
Resources
node-hardware://system-info- Basic system identification info.
Prompts
- system_health_check: Guided workflow for a full system health check.
Claude Code
claude mcp add clio-node-hardware -- uvx clio-kit node-hardware
Or install via the CLIO Kit plugin marketplace:
/plugin marketplace add iowarp/clio-kit
/plugin install clio-node-hardware@iowarp-clio-kit
Claude Desktop
Add to your Claude Desktop config (claude_desktop_config.json):
{
"mcpServers": {
"clio-node-hardware": {
"command": "uvx",
"args": [
"clio-kit",
"node-hardware"
]
}
}
}
Gemini CLI
Add to ~/.gemini/settings.json:
{
"mcpServers": {
"clio-node-hardware": {
"command": "uvx",
"args": [
"clio-kit",
"node-hardware"
]
}
}
}
Or install the CLIO Kit extension:
gemini extensions install https://github.com/iowarp/clio-kit
Examples
1. Local Hardware Overview
I need a comprehensive overview of my local system's hardware including CPU, memory, disk, and network components.
Tools called:
get_node_info- Get complete local hardware information with all components- Components collected: cpu, memory, disk, network, system, summary
2. Remote Server Monitoring
Monitor the hardware status of a remote server via SSH, focusing on CPU and memory utilization for performance analysis.
Tools called:
get_remote_node_info- Connect to remote host with SSH authentication- Components collected: cpu, memory, performance, system
3. GPU and Thermal Monitoring
Check GPU specifications and thermal sensors on both local and remote systems for machine learning workloads.
Tools called:
get_node_info- Local GPU and sensor monitoringget_remote_node_info- Remote GPU and thermal analysis- Components collected: gpu, sensors, performance
4. System Health Assessment
Perform a comprehensive health check of system capabilities and verify all monitoring tools are working correctly.
Tools called:
health_check- System health verification and diagnostic assessmentget_node_info- Comprehensive local system analysis with health metrics
5. Performance Bottleneck Analysis
Identify performance bottlenecks on a production server by analyzing CPU, memory, disk I/O, and running processes.
Tools called:
get_remote_node_info- Remote performance analysis via SSH- Components collected: cpu, memory, disk, performance, processes
6. Storage and Network Analysis
Analyze storage health and network interface performance on multiple systems for infrastructure monitoring.
Tools called:
get_node_info- Local storage and network analysisget_remote_node_info- Remote storage and network monitoring- Components collected: disk, network, system, summary
