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macOS Tools▌

tornikegomareli

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.

github stars

★ 16

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SQLite-based historical data storageNative macOS Spotlight integrationContent-based file search with regex

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

FAQ

What is the macOS Tools MCP server?
macOS Tools is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for macOS Tools?
This profile displays 75 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases▌

Code & Document Analysis

Read, analyze, and understand files in your project

Example

Summarize README, analyze code structure, find TODO comments across codebase

✓

Navigate large codebases 5x faster, understand projects quickly

Automated File Operations

Create, move, rename, and organize files based on natural language instructions

Example

Organize downloads by file type, rename files following convention, batch process images

✓

Save hours on manual file organization

Content Search & Extraction

Search files for patterns, extract data, find information across directories

Example

Find all config files with API keys, extract emails from documents, search logs for errors

✓

Find information instantly instead of manual grep/find

File Generation & Templates

Generate boilerplate files, apply templates, create project structures

Example

Create React component with tests and styles, generate OpenAPI spec, scaffold new project

✓

Eliminate repetitive file creation work

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or Cursor with MCP support
  • ›File system permissions for directories you want to access
  • ›Understanding of file paths and directory structure
  • ›Backup of important files before bulk operations

Time Estimate

10-20 minutes including configuration

Installation Steps

  1. 1.Install filesystem MCP server (often built-in with Claude Desktop)
  2. 2.Configure allowed directories in MCP config for security
  3. 3.Test read: 'Show me contents of ~/Documents/test.txt'
  4. 4.Test write: 'Create a new file notes.md in current directory'
  5. 5.Test search: 'Find all .js files containing TODO'
  6. 6.Test batch operations: 'Rename all .jpeg files to .jpg'
  7. 7.Verify file permissions and access controls

Troubleshooting

  • ⚠Permission denied: Check file/directory permissions, run with appropriate user
  • ⚠Path not found: Verify path is absolute or relative to working directory
  • ⚠MCP server can't access directory: Add to allowed directories in config
  • ⚠File already exists: Use overwrite flag or check before writing
  • ⚠Operation failed: Check disk space, file locks, antivirus interference

Best Practices▌

✓ Do

  • +Configure allowed directories explicitly—don't grant full filesystem access
  • +Back up important files before bulk operations
  • +Use dry-run mode for risky operations when available
  • +Validate file paths before operations
  • +Set appropriate file permissions on created files
  • +Log file operations for audit trail
  • +Test operations on sample files first

✗ Don't

  • −Don't grant MCP access to system directories (/etc, /System)
  • −Don't allow write access to production config files
  • −Don't skip backup before bulk delete/move operations
  • −Don't use for sensitive files (passwords, keys) without encryption
  • −Don't ignore file permission errors—investigate root cause
  • −Don't expose personal documents without considering privacy

💡 Pro Tips

  • ★Use .gitignore patterns to exclude sensitive files from AI access
  • ★Create sandboxed working directory for file experiments
  • ★Combine with version control (git) for easy rollback
  • ★Use file watching for real-time monitoring and reactions
  • ★Create templates for common file generation tasks
  • ★Leverage file metadata (timestamps, size) for smart organization

Technical Details▌

Architecture

MCP server provides file I/O operations (read, write, search, metadata) as tools Claude can invoke with natural language instructions.

Protocols

  • Local file system API
  • Glob patterns for search
  • File streams for large files

Compatibility

  • macOS
  • Linux
  • Windows
  • Local files only (no remote filesystems by default)

When to Use This▌

✓ Use When

Use for code analysis, file organization, content search, template generation, and automating repetitive file operations. Best for local development workflows.

✗ Avoid When

Avoid for system-critical files, sensitive credentials, production environments, or when file integrity is paramount. Don't use on files you can't afford to lose.

Integration▌

  • →Combine with git for version-controlled file operations
  • →Integrate with code editors for seamless workflow
  • →Use with backup tools for safety net
  • →Pair with file watchers for automated reactions

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.7★★★★★75 reviews
  • ★★★★★Dev Iyer· Dec 20, 2024

    Strong directory entry: macOS Tools surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Aisha Kim· Dec 20, 2024

    macOS Tools is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Alexander Brown· Dec 16, 2024

    macOS Tools is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Pratham Ware· Dec 12, 2024

    Useful MCP listing: macOS Tools is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Dev Harris· Dec 12, 2024

    We wired macOS Tools into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Emma Khanna· Dec 4, 2024

    We evaluated macOS Tools against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Arjun Chawla· Nov 23, 2024

    macOS Tools is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Alexander Li· Nov 11, 2024

    According to our notes, macOS Tools benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Kaira Iyer· Nov 11, 2024

    macOS Tools has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Hana Liu· Nov 11, 2024

    We evaluated macOS Tools against two servers with overlapping tools; this profile had the clearer scope statement.

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