Can the AI filter reminders by list or completion status?

Yes. list_reminders accepts optional filters so you can ask for only unfinished items, only completed ones, or only the reminders in a specific list like Groceries or Work. Just say it in plain language.

Does this work with iCloud-synced reminders?

Yes. LMCP reads Apple Reminders directly on your Mac, so any list that appears in Reminders.app — iCloud, local, or shared — is visible to the AI.

Is my reminder data sent to a server?

No. The tool runs locally and returns results straight to your AI client. LMCP stores nothing on its servers and uploads nothing to the cloud, which is why it's GDPR-compliant by architecture.

List Apple Reminders with AI on Mac

The list_reminders tool lets your AI assistant read tasks straight from Apple Reminders (Reminders.app) on your Mac. It can pull everything, or filter by completion status and by list name. You just ask in plain language — for example: “Show me all my unfinished reminders in the Groceries list.” The AI returns the matching items with titles, due dates and which list they belong to, so you can review your day without opening the app.

Because LMCP runs natively on macOS, the AI sees the same reminders you do — iCloud-synced lists, local lists, shared lists, all of them. No copy-paste, no exporting, no setup beyond installing once. Download LMCP to get started.

Which AI agents work?

LMCP works with every major MCP-capable assistant. Desktop clients auto-configure over a local stdio connection; web AIs connect through the LMCP Cloud Relay connector.

Desktop (local stdio, auto-configured): Claude Desktop, Cursor, VS Code (GitHub Copilot), Windsurf and Zed.
Web (via LMCP Cloud Relay connector): ChatGPT, Claude.ai (web), Grok and Perplexity.

Whichever you use, list_reminders is one of 150+ tools that expose your real Mac apps to the AI.

Automation

Reading reminders is most useful when it chains into action. Once the AI has your list, it can:

Create or complete tasks with the companion reminders tools, so “mark the milk one done” just works.
Cross-check reminders against your calendar to spot conflicts before a meeting.
Turn open reminders into a draft email or a Notes summary for your team.
Filter for everything due today and feed it into a daily-brief routine each morning.

The AI decides which tools to combine based on what you ask — you describe the outcome, it orchestrates the steps.

Context

This isn't a generic chatbot guessing at your to-dos. list_reminders gives the AI your real Reminders data — the actual lists, the actual due dates, the actual completion state. That means answers reflect what's truly on your plate, and follow-up actions land in the right place. Ask “what's left on the Work list?” and you get a precise answer, not a hallucination.

Productivity

Instead of switching to Reminders.app, scanning multiple lists, and mentally filtering what's done, you ask one question and get the relevant slice instantly. A typical morning triage — “list everything unfinished due this week, grouped by list” — takes seconds instead of minutes of manual scrolling. Over a week of standups, planning, and shopping runs, that adds up to real time saved, and it keeps your assistant aware of your tasks without you re-typing them.

Privacy & GDPR

Everything runs locally on your Mac. The list_reminders tool reads Reminders.app directly through macOS, and the results go straight to your AI client — no LMCP server stores your reminders, and nothing is uploaded to a cloud database. There are no API keys to manage and no third-party account in the loop. This local-first design makes LMCP GDPR-compliant by architecture: your task data never leaves your machine. Download LMCP and try it today.