# mcp-system-monitor-js

> mcp-system-monitor-js — darkphilosophy-mcp-system-monitor-js. Use this tool when you need to monitor and interact with Linux servers, as it provides comprehensive system information including CPU, memory, disk, network, and process data. It solves problems related to system resource utilization, performance monitoring, and remote server management. The tool accepts MCP protocol and HTTP REST API inputs and outputs system data, making it ideal for use cases where AI agents require real-time system insights.

Canonical page: https://skillsregistry.net/skills/darkphilosophy-mcp-system-monitor-js  
JSON: https://api.skillsregistry.net/v1/skills/darkphilosophy-mcp-system-monitor-js

## Description

A Model Context Protocol (MCP) JS server implementation designed for AI agents to monitor and interact with Linux servers (Ubuntu, CentOS, RedHat, etc.). This server provides comprehensive system information including CPU, memory, disk, network, and process data through both MCP protocol and HTTP REST API

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/DarkPhilosophy/mcp-system-monitor-js)

## 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": "darkphilosophy-mcp-system-monitor-js"
    }
  }
}
```

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