# System Resource Monitor

> Use this tool when you need to monitor system performance and diagnose issues in real-time, providing metrics on CPU, memory, disk, network, and internet speed. It solves problems related to resource utilization, performance issues, and network connectivity by offering comprehensive system snapshots and targeted metrics retrieval. The tool accepts queries and returns detailed system metrics, making it ideal for use cases where real-time system monitoring is crucial.

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

## Description

A Model Context Protocol server for real-time system monitoring, providing CPU, memory, disk, network, battery, and internet speed metrics via the systeminformation library. Developed by Abhinav, this implementation exposes both a resource endpoint for comprehensive system snapshots and individual tools for targeted metrics retrieval. The server uses multi-source speed tests from various providers to deliver reliable internet performance measurements, making it particularly useful for diagnosing performance issues, monitoring resource utilization, and tracking network connectivity without leaving the AI assistant conversation.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/abhinav-system-resource-monitor)
- **Repository:** <https://github.com/abhinav7895/system-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": "abhinav-system-resource-monitor"
    }
  }
}
```

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