macOS Tools▌
by tornikegomareli
macOS Tools offers system monitoring and advanced file search with tagging on macOS, using SQLite for historical data an
Provides macOS system monitoring with SQLite-based historical data storage and enhanced file search with tagging support, collecting real-time CPU, memory, disk, and network metrics while offering content-based file searching with regex support and macOS file tagging operations through native utilities like Spotlight and extended attributes.
best for
- / macOS developers monitoring system resource usage
- / System administrators tracking performance trends
- / Users organizing files with enhanced search and tagging
capabilities
- / Track CPU, memory, disk, and network metrics in real-time
- / Store system performance history in SQLite database
- / Search files by content using regex patterns
- / Add and manage macOS file tags
- / Analyze top resource-consuming processes
- / Get system optimization recommendations
what it does
Monitors macOS system performance with historical SQLite storage and provides advanced file search with content analysis and tagging support.
about
macOS Tools is a community-built MCP server published by tornikegomareli that provides AI assistants with tools and capabilities via the Model Context Protocol. macOS Tools offers system monitoring and advanced file search with tagging on macOS, using SQLite for historical data an It is categorized under file systems, developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install macOS Tools in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
macOS Tools is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
README content is unavailable from source data for this server.
Open GitHub repository