# System Info MCP Server

> Use this tool when you need to monitor and diagnose system performance issues or gather detailed information about hardware and software configurations. It solves problems related to system optimization, troubleshooting, and maintenance by providing insights into CPU, memory, disk usage, and other key metrics. The tool accepts natural language queries and returns detailed system information and performance data through a user-friendly interface.

Canonical page: https://skillsregistry.net/skills/srirama7-system-info-mcp  
JSON: https://api.skillsregistry.net/v1/skills/srirama7-system-info-mcp

## Description

Enables comprehensive system monitoring and diagnostics through 18 tools that provide detailed information about CPU, memory, disk usage, network interfaces, running processes, battery status, hardware details, and temperature monitoring. Allows users to query system information and performance metrics through natural language interactions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/blg9can859)
- **Repository:** <https://github.com/srirama7/system-info-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": "srirama7-system-info-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/srirama7-system-info-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/srirama7-system-info-mcp/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
