# mcp-sysmon

> Use this tool when you need to monitor system resources and performance, solving problems related to system optimization, troubleshooting, and resource allocation. It provides real-time information on CPU, memory, disk, network, and processes, accepting user queries as input and returning detailed system metrics as output. Ideal for system administrators and users seeking to diagnose and resolve system-related issues.

Canonical page: https://skillsregistry.net/skills/dragogargo-mcp-sysmon  
JSON: https://api.skillsregistry.net/v1/skills/dragogargo-mcp-sysmon

## Description

MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rrlbp87va2)
- **Repository:** <https://github.com/dragogargo/mcp-sysmon>

## 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": "dragogargo-mcp-sysmon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dragogargo-mcp-sysmon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dragogargo-mcp-sysmon/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