CleanDevMac vs Clipto MCP
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Clipto MCP leads with 585 upvotes
Find and delete the dev caches eating your Mac's disk
CleanDevMac (cdm) is an open-source command-line tool designed specifically for macOS developers seeking to reclaim disk space by cleaning up redundant cache files, build artifacts, Electron junk, and orphaned app data. Built entirely with bash, it emphasizes transparency by showing users a detailed list of items before any deletion, ensuring safe and informed cleanup. Its open-source MIT license guarantees no telemetry or data collection, making it a privacy-conscious choice for developers who prefer control over their system maintenance. Ideal for developers, power users, and Mac enthusiasts, cdm streamlines disk management by targeting common space hogs created during software development and app usage. Its CLI nature makes it lightweight, fast, and easily integrable into existing workflows, making it a practical addition for those who want an efficient, no-nonsense cleanup tool.
Pros
- Open-source and free, ensuring transparency and community-driven development
- Never deletes without user confirmation, reducing risk of accidental data loss
- Lightweight and pure bash implementation for easy customization and speed
- Targets various cache types including developer caches, build artifacts, and Electron junk
- No telemetry or data collection, prioritizing user privacy
Cons
- Limited to macOS, not cross-platform
- Requires command-line familiarity; not suitable for non-technical users
- May need manual setup or scripting for automation
Best for
- • Developers cleaning up build artifacts and caches after project completion
- • Mac users reclaiming disk space from Electron-based app junk
- • Maintainers removing orphaned app data to improve system performance
- • Power users integrating cleanup routines into their development workflows
Pricing: Free and open source under the MIT license, with no paid tiers or subscription fees.
Let agents source clips from terabytes of your local video
Clipto MCP is an innovative AI-powered tool designed to transform how users manage and extract media from large collections of local videos, photos, and audio recordings. By integrating with AI agents like Claude and ChatGPT, it allows users to effortlessly source specific clips or segments through natural language descriptions, eliminating the need for manual browsing. Whether turning scripts into videos, locating scenes with particular topics, or creating rough cuts, Clipto MCP acts as a virtual assistant that streamlines media editing and searching processes. Its ability to handle terabytes of media and provide precise, context-aware results makes it especially valuable for content creators, video editors, and digital archivists seeking efficiency and automation in media management. What sets it apart is its seamless integration with AI agents, transforming complex file searches into simple conversational commands, saving time and effort while enhancing productivity.
Pros
- Enables natural language-based media searches and sourcing
- Handles large media libraries efficiently
- Integrates smoothly with AI assistants like Claude and ChatGPT
- Speeds up editing, research, and content creation workflows
- Reduces manual browsing and tedious file management
Cons
- Limited information on pricing and subscription models
- Requires familiarity with AI tools and commands
- Potentially dependent on AI accuracy for precise results
Best for
- • Turning scripts into videos by matching sentences with local footage
- • Finding all scenes or segments where specific topics or keywords are mentioned
- • Creating rough cuts or highlights from extensive video libraries
- • Searching and organizing media for archival or research purposes
Pricing: Likely operates on a freemium or subscription-based model, with basic features possibly available for free and paid plans offering advanced capabilities, especially for handling large media libraries and AI integrations. Exact pricing details are not publicly specified.