# System Monitor

> Use this tool when you need to monitor system performance and retrieve real-time metrics on CPU, memory, disk, network, and process statistics. It solves problems related to system diagnostics, resource monitoring, and performance analysis, providing outputs in structured JSON format through a standardized interface. The System Monitor is ideal for use cases where AI assistants require access to system data without direct system access, and its configurable parameters allow for customized data retrieval.

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

## Description

MCP System Monitor provides real-time system metrics through a standardized interface, allowing LLMs to access detailed information about CPU, memory, disk, network, host, and process statistics. Built with Go using the gopsutil library, it exposes six specialized tools that retrieve system performance data in structured JSON format. The implementation is designed for cross-platform compatibility (Windows, macOS, Linux) and includes configurable parameters for customizing data retrieval, such as filtering processes by resource usage or viewing per-core CPU statistics. This server enables AI assistants to perform system diagnostics, resource monitoring, and performance analysis without requiring direct system access.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/seekrays-system-monitor)
- **Repository:** <https://github.com/seekrays/mcp-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": "seekrays-system-monitor"
    }
  }
}
```

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