The Only Employee Monitoring Platform
Your AI Assistant Can Talk To

Returns a snapshot of current team status — who is clocked in, total hours today, productivity overview, and pending items.

Lists employees in your tenant with clock-in status, department, and availability — filterable by status or team.

Returns detailed profile and recent activity for a specific employee — hours this week, last clock-in, and productivity data.

Retrieves the authenticated user's own timesheet entries for a date range — clocked-in/out times, duration, and project.

Returns an aggregated summary of team hours worked across a period — total, per-person breakdown, and overtime flags.

Returns workload warnings — employees approaching overtime, under-hours this week, or idle for extended periods — so managers can act before issues escalate.

Returns team-wide and per-employee productivity metrics — active vs idle ratios, top applications, and work-intensity data.

Lists timesheet entries, leave requests, or expense claims awaiting manager approval — so your AI can flag them during a morning briefing.

Returns a chronological feed of recent employee activity events — clock-ins, clock-outs, screenshot captures, and idle transitions.

A single-call daily digest — team attendance, pending approvals, workload warnings, and productivity snapshot — optimised for a manager's start-of-day check-in.

Returns onboarding documentation and MCP configuration instructions for first-time AI assistant setup — so your AI can self-guide new users.

Explains TheDeskMonitor's data schema and metric definitions to the AI assistant — helping it give accurate, terminology-consistent answers.

Switches the AI session context to the demo tenant — so prospects can explore AI workforce queries against realistic sample data without any setup.

Returns the AI session from demo context back to the authenticated tenant's live data — for seamless demo-to-onboarding transitions.