Do I need a Microsoft 365 admin or API key to use this?

No. LMCP connects to your Microsoft 365 account locally from your Mac. There are no API keys to manage and no cloud server in the middle — you sign in once and the tool reads your people insights directly.

How does it decide who is most relevant?

It uses the same signals Microsoft 365 tracks: your communication patterns, collaboration history across Mail and Teams, and your position in the org chart. The result reflects your real working relationships, not a generic contact list.

Is my contact and org-chart data sent anywhere?

No. Everything runs on your Mac. People insights are fetched and returned locally — nothing is copied to or stored on an external server, which keeps the workflow GDPR-compliant by architecture.

List Microsoft 365 People Insights on Mac with AI

list_m365_people_insights lets your AI assistant pull the people who matter most to you across Microsoft 365 — ranked by your real communication patterns, collaboration history, and org-chart relationships. Instead of digging through Outlook, Teams, and the company directory, you just ask. A natural prompt looks like: "Who are the people I work with most in Microsoft 365 right now?" and your AI returns the relevant contacts with their roles and how you're connected.

This is a read-only tool: it surfaces insight, it never changes anything. It's powered by LMCP, a free, native macOS MCP server with 150+ tools that lets AI assistants use your real Mac apps and accounts locally. Download LMCP to get started.

Which AI agents work?

LMCP works with every major AI client. Desktop apps auto-configure over a local stdio connection — no setup files to edit:

Claude Desktop
Cursor
VS Code (GitHub Copilot)
Windsurf
Zed

Web-based AIs connect through the LMCP Cloud Relay connector, which securely bridges the chat to your Mac:

ChatGPT
Claude.ai (web)
Grok
Perplexity

Automation

People insights become powerful when chained with other LMCP tools. Your AI can take the names returned by list_m365_people_insights and immediately act: look up a person's full profile, search recent emails from them, find shared Teams chats, or draft a calendar invite for the top three collaborators. One example: "Find my key collaborators in M365, then summarize the last email thread with each one." The AI runs the people lookup, then loops the results through Mail and Teams tools without you switching apps.

Context

Because LMCP runs on your machine and reads your actual Microsoft 365 account, the rankings reflect your real working relationships — who you email, who you meet with, who reports to whom — not a generic guess. The AI sees the same signal Microsoft uses to power its own People insights, so the answers are grounded in your live data instead of stale notes or assumptions.

Productivity

Re-onboarding to a project, writing a status update, or figuring out who to loop in on a decision normally means hopping between Outlook, the org chart, and Teams. With this tool, your AI answers "who should I include?" in seconds. Teams leads use it to map a stakeholder list before a launch; new hires use it to learn who the central people on their team are. What used to be ten minutes of clicking becomes a single sentence.

Privacy & GDPR

Everything happens locally on your Mac. LMCP talks to your Microsoft 365 account directly from your machine — there are no API keys to hand over, no cloud middleman, and nothing about your contacts or org chart is copied to or stored on a server. The people data stays on your device. This local-first design makes LMCP GDPR-compliant by architecture.