# system-mcp

> Use this tool when you need to monitor and retrieve system metrics, such as CPU, memory, and disk usage, to troubleshoot performance issues or optimize system resources. It exposes system telemetry tools to gather metrics on local machine hardware and network activity. Input parameters include metric types, and output is provided in a machine-readable format for further analysis or automation.

Canonical page: https://skillsregistry.net/skills/chandukasireddy-system-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chandukasireddy-system-mcp

## Description

Exposes system telemetry tools to retrieve CPU, memory, disk, battery, network, process, and GPU metrics from a local machine.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/afin1xnq0e)
- **Repository:** <https://github.com/Chandukasireddy/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": "chandukasireddy-system-mcp"
    }
  }
}
```

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