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Macuse: Give Your AI Superpowers on macOS

Macuse is a native macOS app that connects AI assistants like Claude, Codex, Cursor, and Raycast to local Mac apps, enabling access to Calendar, Mail, Notes, Reminders, Messages, and Computer Use for direct app control. It is local-first, permission-based, and multi-client.

SourceProduct Hunt AIAuthor: Yuexun Jiang

Macuse: Give Your AI Superpowers on macOS | Product Hunt

Macuse

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Give Your AI Superpowers on macOS

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Give Your AI Superpowers on macOS

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Macuse is a native macOS app that connects Claude, Codex, Cursor, Raycast, and any MCP-compatible AI client to your Mac apps. It gives AI assistants local access to Calendar, Mail, Notes, Reminders, Messages, and real app control through Computer Use.

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Launch tags:Mac•Productivity•Artificial Intelligence

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Hey Product Hunt,

I built Macuse because AI assistants are getting incredibly good at reasoning, but on macOS they still often hit a wall: they can answer questions, but they cannot reliably act across the apps where your work actually lives.

Macuse is a native macOS app that turns your Mac apps into local tools for AI assistants.

It runs as a local MCP server, connecting Claude, Codex, Cursor, Raycast, and any MCP-compatible client to your Mac. Your AI can manage Calendar events, read and draft Mail, work with Notes and Reminders, search Contacts, send Messages, and use Computer Use to click, type, scroll, and navigate real app interfaces.

A few things I cared about while building it:

• Local-first: your Mac app data is processed locally • Permissioned: every connection requires approval and can be revoked • Multi-client: one Macuse setup works across your AI tools • Native integrations: Calendar, Mail, Notes, Reminders, Messages, Contacts, Shortcuts, Maps, and more • Computer Use: control apps that do not have APIs, without taking over your active cursor/window

The goal is simple: make your AI assistant useful inside the Mac apps you already use every day.

I’d love feedback from Mac users, MCP builders, and anyone experimenting with AI agents on desktop workflows.

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22h ago