mac-monitor-mcpmac-monitor-mcp MCP server

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

MacOS Resource Monitor MCP Server is a lightweight server that identifies resource-intensive processes on macOS across CPU, memory, and network usage. It exposes an MCP endpoint for monitoring system resources and returns data in a structured JSON format. The server is designed for users who need to analyze system resource usage on their Mac. It works by analyzing CPU, memory, and network usage and identifying the most resource-intensive processes. The server offers three main tools: get_resource_intensive_processes() for top resource-intensive processes, get_processes_by_category() for filtering and sorting processes by category, and get_system_overview() for a comprehensive system overview. The server can be installed globally using uv or run from the project directory. It requires macOS operating system and Python 3.10+.

Key features

Monitors CPU, memory, and network usage
Identifies top resource-intensive processes
Exposes MCP endpoint for data retrieval
Provides system overview with aggregate statistics

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

System Resource Monitoring

Use the MacOS Resource Monitor MCP Server to monitor system resources on a macOS machine, identifying resource-intensive processes and optimizing performance.

Automated Resource Analysis

Integrate the MacOS Resource Monitor MCP Server with an LLM or other client to automate resource analysis and optimization on macOS systems.

Pros & Cons

Pros

Lightweight and easy to install
Provides detailed resource usage data
Supports multiple tools for data retrieval

Cons

Requires Python 3.10+ and macOS operating system
Limited to monitoring macOS systems

Reviews

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Q&A

What are the main limitations of mac-monitor-mcp?

It requires macOS and Python 3.10+ and only runs on Mac systems. The server is lightweight but is limited to monitoring macOS, not other operating systems.

Asked by Ludovic Girard · Jun 22, 2025

Can I filter processes by category and paginate results?

Yes, use the `get_processes_by_category` tool with parameters like `process_type=cpu|memory|network`, `page`, `page_size`, `sort_by`, and `sort_order` to retrieve paginated and sorted process lists.

Asked by Kirsi Laine · Jun 12, 2025

What system resources does the server report and how is the data accessed?

The server monitors CPU, memory, and network usage, identifies the top resource‑intensive processes, and provides a system overview. It exposes an MCP endpoint that returns structured JSON, which can be queried by LLMs or other clients.

Asked by Liam O’Connor · Jun 5, 2025

How do I install mac-monitor-mcp on my Mac?

You can install it globally with uv by cloning the repo, running `uv tool install .`, and then executing `mac monitor`. Alternatively, clone the repo, set up a virtual environment, `pip install mcp`, and start the server with `python src/mac_monitor/monitor.py` or `uv run mac monitor`.

Asked by Ximenez Alvarado · Apr 17, 2025