# OS Info

> Use this tool when you need to gather real-time system information about a host computer, such as CPU, memory, and operating system details, to monitor resources, troubleshoot performance issues, or integrate system diagnostics into AI workflows. It provides comprehensive hardware and software metrics through a simple interface, enabling AI assistants to respond to natural language queries about system specifications and state. Ideal for use cases requiring up-to-date system data, such as system monitoring, diagnostics, or optimization.

Canonical page: https://skillsregistry.net/skills/anurag-dhamala-os-info  
JSON: https://api.skillsregistry.net/v1/skills/anurag-dhamala-os-info

## Description

OS Info MCP Server provides real-time system information about the host computer, including CPU, memory, operating system, disk, battery, processes, and CPU load details. Developed by Devnical, this TypeScript implementation uses the systeminformation library to gather comprehensive hardware and software metrics, making it valuable for monitoring system resources, troubleshooting performance issues, or integrating system diagnostics into AI assistant workflows. The server can be deployed either by cloning the repository or using npx, with a simple configuration that enables AI assistants to respond to natural language queries about the host system's specifications and current state.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/anurag-dhamala-os-info)
- **Repository:** <https://github.com/anurag-dhamala/os-info-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "anurag-dhamala-os-info"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anurag-dhamala-os-info` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anurag-dhamala-os-info/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt