List OmniFocus Tags with AI on Mac

The list_omnifocus_tags tool lets your AI assistant read every tag you have defined in OmniFocus on your Mac. Tags are how OmniFocus models context, energy level, people, and priority, so getting the full list is the first step to any tag-based query or cleanup. You simply ask in plain language, for example: "List all my OmniFocus tags and group them by the ones I use for contexts versus people." The assistant calls the tool, reads the real tags straight from your local OmniFocus database, and answers instantly.

Because everything runs locally through LMCP, there are no exports, no copy-paste, and no third-party sync. Your AI sees exactly the tags OmniFocus sees. Download LMCP to get started in under a minute.

Which AI agents work?

LMCP exposes 150+ tools to whichever AI you already use. Desktop clients auto-configure through a local stdio connection, while web AIs connect securely via 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, Grok and Perplexity.

Whichever client you pick, list_omnifocus_tags behaves the same and reads the same local data.

Automation

Listing tags is rarely the end goal, it is the setup. Once your assistant knows your tags, it can chain into other LMCP OmniFocus tools to do real work:

• List tags, then pull every task carrying a specific tag like @waiting or @errands.
• Find tags you rarely use and suggest merging or archiving them to tidy your system.
• Cross-reference a person tag with your Calendar or Contacts to prep for a 1:1.
• Build a daily brief that pulls overdue tasks for your high-priority tags only.

The AI orchestrates these calls for you, so one natural-language request becomes a multi-step workflow.

Context

The assistant works with your actual OmniFocus data, not a generic template or a stale export. When you ask about tags, it returns the real names you created, reflecting your own GTD contexts, projects, and conventions. That means answers are specific to how you work, and follow-up actions land on the right tasks every time.

Productivity

Auditing tags by hand means scrolling the OmniFocus sidebar, remembering which contexts you abandoned, and manually counting usage. With LMCP your AI does it in seconds: "Which tags have no active tasks?" or "Show me my five most-used tags this week." What used to be a quarterly cleanup chore becomes a 10-second question. Teams and solo power users alike save real time keeping their task system clean and trustworthy, which is the whole point of GTD.

Privacy & GDPR

LMCP is a native macOS server that runs entirely on your Mac. Your OmniFocus tags and tasks are read locally and never uploaded, stored, or copied to any LMCP server. There are no API keys and nothing leaves your machine beyond the single response your chosen AI client needs. This is privacy by design, GDPR-compliant by architecture. For web AIs, only the specific result you requested passes through the relay, never your whole database.