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.
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.
About Macuse on Product Hunt
“Give Your AI Superpowers on macOS”
Macuse launched on Product Hunt on July 2nd, 2026 and earned 119 upvotes and 24 comments, placing #11 on the daily leaderboard. 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.
On the analytics side, Macuse competes within Mac, Productivity and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Macuse performed against the three products that launched closest to it on the same day.
Who hunted Macuse?
Macuse was hunted by Yuexun Jiang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Macuse including community comment highlights and product details, visit the product overview.
Yuexun Jiang
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.