# mcp-monitor

> mcp-monitor — seekrays-mcp-monitor. Use this tool when you need to monitor system performance and retrieve real-time metrics, solving issues with system resource utilization and optimization. The mcp-monitor tool exposes system metrics via the Model Context Protocol (MCP) interface, allowing Large Language Models (LLMs) to access and utilize this information. It is ideal for use cases requiring real-time system monitoring and automation, with inputs via MCP and outputs of system metrics and performance data.

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

## Description

A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](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-mcp-monitor"
    }
  }
}
```

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