# System Information

> Use this tool when you need to monitor system performance, retrieve real-time information, or access metrics such as CPU usage, memory statistics, and network status. It solves problems related to system administration, performance monitoring, and automation by providing a programmatic interface to system data. The tool accepts input parameters for customization and outputs detailed system information, making it suitable for AI assistants and applications that require real-time system monitoring capabilities.

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

## Description

This MCP server provides real-time system monitoring and information retrieval capabilities through psutil, enabling AI assistants to access CPU usage, memory statistics, disk information, network status, running processes, and system uptime data. Built using Python with FastMCP and comprehensive caching for performance optimization, it offers seven specialized tools including per-CPU breakdowns, process filtering and sorting, temperature sensor readings when available, and configurable limits for resource-intensive operations. The implementation features cross-platform compatibility with graceful degradation for platform-specific features, security controls that filter sensitive command-line arguments, multiple transport options (stdio, SSE, HTTP), and environment-based configuration for cache TTL and process limits, making it valuable for system administration workflows, performance monitoring applications, and building AI assistants that need programmatic access to system metrics without manual monitoring tool navigation.

## 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:** iot-hardware
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dknell-system-info)
- **Repository:** <https://github.com/dknell/mcp-system-info>

## 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": "dknell-system-info"
    }
  }
}
```

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