# Hardware Monitor MCP Server

> Use this tool when you need to monitor system performance and receive real-time metrics on CPU, RAM, disk, and battery usage. It solves problems related to system resource optimization, performance threshold monitoring, and automated task management. The tool accepts query inputs and returns real-time system metrics as output, making it ideal for use cases that require continuous system monitoring and analysis.

Canonical page: https://skillsregistry.net/skills/paresh-p-crest-cpu-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/paresh-p-crest-cpu-mcp-server

## Description

Enables AI assistants to query real-time system metrics like CPU, RAM, disk, and battery usage, and check performance thresholds.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g8cus2jsvn)
- **Repository:** <https://github.com/paresh-p-crest/cpu-mcp-server>

## 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": "paresh-p-crest-cpu-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paresh-p-crest-cpu-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paresh-p-crest-cpu-mcp-server/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