AI Search Apple Notes on Mac by Title or Content

The search_notes tool lets your AI assistant look through your Apple Notes by title or content and pull back the matches in seconds. Instead of scrolling through hundreds of notes, you just describe what you remember. For example, you can type: "Search my Apple Notes for the wifi password I saved at the beach house." The AI runs the search locally against the Notes app on your Mac and returns the relevant note text — no copy-paste, no manual hunting.

It works the way you actually think about your notes: by a keyword in the title, a phrase buried in the body, a name, a date, or a project tag. Because it reads your real Notes database on the machine, results are current — including notes you wrote five minutes ago.

Download LMCP to give your AI assistant this ability.

Which AI agents work?

LMCP exposes 150+ tools to a wide range of AI clients. Desktop clients auto-configure over local stdio — no manual JSON editing — while web-based AIs connect through the LMCP Cloud Relay connector.

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

Once LMCP is installed and your client is restarted, search_notes shows up automatically alongside the rest of the toolset.

Automation

Searching is rarely the end goal — it's the first step in a chain. Because the AI can call multiple LMCP tools in sequence, search_notes becomes a building block:

• Find a note about a client, then draft and send a follow-up email with send_email.
• Locate meeting notes, then create calendar events or reminders from the action items.
• Pull a packing list note, then cross-check it against a Reminders list.
• Search for a recipe or spec note and summarize it into a clean document.

You describe the outcome once and the assistant orchestrates the steps.

Context

The biggest difference from a generic chatbot is that the AI works with your real Mac data. It isn't guessing or hallucinating — it reads the actual notes you wrote, in the Notes app you already use every day. That grounding means answers reference your real meetings, passwords, ideas and lists, so the assistant becomes a genuine extension of your own memory rather than a separate silo you have to feed.

Productivity

Manually finding a note means opening the app, remembering which folder it lives in, and skimming. With search_notes the assistant does it in one prompt and returns the exact passage you need — typically turning a one-to-two-minute dig into a couple of seconds. Multiply that across a workday of "where did I write that down?" moments and it adds up fast. It also keeps you in your AI conversation, so you never break flow to switch apps.

Privacy & GDPR

Everything runs locally on your Mac. search_notes reads the Notes app directly on the device — your note content is never uploaded to an LMCP server, never stored in the cloud, and never used for training. There are no API keys and no third-party data processors in the loop. For web AIs, only the specific result you request passes through the relay to your own connected session. This local-first design is GDPR-compliant by architecture — see GDPR-compliant by architecture for the full picture.