iflow-mcp_pratyay-mac-monitor

# MacOS Resource Monitor MCP Server [](https://archestra.ai/mcp-catalog/pratyay__mac-monitor-mcp) A Model Context Protocol (MCP) server that identifies resource-intensive processes on macOS across CPU, memory, and network usage. ## Overview MacOS Resource Monitor is a lightweight MCP server that exposes an MCP endpoint for monitoring system resources. It analyzes CPU, memory, and network usage, and identifies the most resource-intensive processes on your Mac, returning data in a structured JSON format. ## Requirements - macOS operating system - Python 3.10+ - MCP server library ## Installation ### Option 1: Global Installation (Recommended) Install the MCP server globally using uv for system-wide access: ```bash git clone https://github.com/Pratyay/mac-monitor-mcp.git cd mac-monitor-mcp uv tool install . ``` Now you can run the server from anywhere: ```bash mac-monitor ``` ### Option 2: Development Installation 1. Clone this repository: ```bash git clone https://github.com/Pratyay/mac-monitor-mcp.git cd mac-monitor-mcp ``` 2. Create a virtual environment (recommended): ```bash python -m venv venv source venv/bin/activate ``` 3. Install the required dependencies: ```bash pip install mcp ``` ## Usage ### Global Installation If you installed globally with uv: ```bash mac-monitor ``` ### Development Installation If you're running from the project directory: ```bash python src/mac_monitor/monitor.py ``` Or using uv run (from project directory): ```bash uv run mac-monitor ``` You should see the message: ``` Simple MacOS Resource Monitor MCP server starting... Monitoring CPU, Memory, and Network resource usage... ``` The server will start and expose the MCP endpoint, which can be accessed by an LLM or other client. ### Available Tools The server exposes three tools: #### 1. `get_resource_intensive_processes()` Returns informat…