# System Monitor

> Use this tool when you need to monitor system performance and health in real-time, identify resource bottlenecks, and analyze running processes. It provides direct access to CPU usage, memory consumption, disk utilization, and process data, supporting DevOps workflows and infrastructure diagnostics. Ideal for production environments requiring automated system monitoring and alerting.

Canonical page: https://skillsregistry.net/skills/vzilvinskus-system-monitor  
JSON: https://api.skillsregistry.net/v1/skills/vzilvinskus-system-monitor

## Description

Monitors CPU usage, memory consumption, disk utilization, and running processes in real time, giving AI assistants direct access to system health data. Supports DevOps workflows including resource bottleneck identification, process analysis, and infrastructure diagnostics. Built with the MCP SDK for TypeScript and targets production environments where automated system monitoring and alerting are needed.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/vzilvinskus-system-monitor)
- **Repository:** <https://github.com/vzilvinskus/mcp-system-monitor>

## 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": "vzilvinskus-system-monitor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vzilvinskus-system-monitor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vzilvinskus-system-monitor/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