# MacOS Resource Monitor MCP Server

> Use this tool when you need to identify and manage resource-hungry processes on macOS, solving issues like system slowdowns and network congestion. It provides detailed process filtering and system overview, accepting inputs like process IDs and network protocols, and outputting usage metrics and system alerts. Ideal for system administrators and power users seeking to optimize macOS performance and troubleshoot resource-related problems.

Canonical page: https://skillsregistry.net/skills/pratyay-mac-monitor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pratyay-mac-monitor-mcp

## Description

Identifies resource-intensive processes on macOS across CPU, memory, and network usage, with tools for detailed process filtering and system overview.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tqq8obnkn2)
- **Repository:** <https://github.com/Pratyay/mac-monitor-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": "pratyay-mac-monitor-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pratyay-mac-monitor-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pratyay-mac-monitor-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