Does m365_list_emails need my Microsoft password or API keys?

No. LMCP connects to your Microsoft 365 / Outlook account through the standard sign-in flow on your Mac. You don't paste API keys, and credentials stay on your device — the AI just calls the tool to list your inbox.

Will my emails be uploaded to a cloud server?

No. The tool reads your inbox locally on your Mac and returns results directly to your AI client. LMCP stores nothing on its servers. For web AIs, the Cloud Relay only routes the request — the mail itself is fetched and processed on your machine.

Which AI assistants can use this tool?

Claude Desktop, Cursor, VS Code (GitHub Copilot), Windsurf and Zed auto-configure via local stdio. ChatGPT, Claude.ai, Grok and Perplexity connect through the LMCP Cloud Relay connector. The tool appears in all of them once LMCP is installed.

List Microsoft 365 Emails with AI on Mac

m365_list_emails lets an AI assistant read your Microsoft 365 / Outlook inbox directly on your Mac. It returns each message's subject, sender, date and a short preview — so your AI can summarize, triage, and act on real mail without you copy-pasting anything. You just type something like: "List my latest 20 Microsoft 365 emails and tell me which ones need a reply today." The assistant pulls the live list from your Outlook inbox and hands you a ranked answer.

This is part of LMCP, a free, native macOS MCP server with 150+ tools that connect AI to your real Mac apps. No API keys, no cloud account, nothing stored on a server.

Which AI agents work?

LMCP works with virtually every modern AI client:

Desktop apps (auto-configure via local stdio): Claude Desktop, Cursor, VS Code (GitHub Copilot), Windsurf and Zed. LMCP registers itself and the tools appear automatically.
Web AIs (connect through the LMCP Cloud Relay connector): ChatGPT, Claude.ai, Grok and Perplexity. You add the LMCP connector once and your browser-based AI can reach your Mac's inbox.

Whichever you use, m365_list_emails shows up as a ready-to-call tool.

Automation

The real power comes from chaining. After listing your inbox, the AI can pass each message into other LMCP tools: read the full body, draft and send a reply, create a calendar event from a meeting invite, add an Outlook follow-up to Reminders, or save an attachment to Finder. A single prompt like "Find unanswered client emails from this week and draft replies" becomes a multi-step workflow your AI executes end to end.

Context

Because LMCP runs on your Mac and reads your actual Outlook data, the AI works with your real world — your senders, your threads, your deadlines — not a generic guess. That grounding is what makes answers accurate: it can tell you that the email from your boss arrived two hours ago and references the Q3 deck, instead of inventing a plausible-sounding summary.

Productivity

Inbox triage is a daily tax. Instead of scanning dozens of subject lines yourself, you ask once and get a prioritized digest: what's urgent, what can wait, what's already handled. Users save several minutes every morning and avoid missing buried-but-important mail. Pair it with reply drafting and a 30-minute inbox session shrinks to a few minutes of review and confirm.

Privacy & GDPR

Everything runs locally on your Mac. m365_list_emails reads your inbox on-device and returns results straight to your AI client — no copy of your mail is uploaded to LMCP servers, and nothing is stored in the cloud. This local-first design makes LMCP GDPR-compliant by architecture: your data never leaves a system you control. For web AIs the Cloud Relay only forwards the request to your Mac; the mail content is fetched and processed locally.

Ready to try it? Download LMCP and connect your Microsoft 365 account in a couple of clicks.