# syswatch-mcp

> syswatch-mcp — marilynceo-syswatch-mcp. Use this tool when you need to monitor system resources and performance on Linux, macOS, or Windows machines, and receive alerts, trends, and insights directly within your AI agent. It solves problems related to system resource utilization, network I/O, and process management, providing a self-contained solution without requiring SaaS, agents, or additional infrastructure. The tool accepts system metrics as input and outputs actionable insights and alerts.

Canonical page: https://skillsregistry.net/skills/marilynceo-syswatch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marilynceo-syswatch-mcp

## Description

Monitor CPU, RAM, disk, network I/O, and processes on any Linux/macOS/Windows machine u2014 get alerts, trends, and insights u2014 directly from your AI agent. No SaaS, no agents, no infrastructure.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/marilynceo/syswatch-mcp)

## 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": "marilynceo-syswatch-mcp"
    }
  }
}
```

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

---
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