Summary MCP

/** * Calendar data analyzer * Collects and analyzes Calendar data via MCP */ /** * Get instructions for AI to collect Calendar data * @param {string} startDate - Start date (YYYY-MM-DD) * @param {string} endDate - End date (YYYY-MM-DD) * @returns {string} Instructions for data collection */ export function getCalendarDataInstructions(startDate, endDate) { return ` # Calendar Data Collection Instructions Please collect calendar data for period ${startDate} to ${endDate}: 1. **Calendar Events**: Use mcp_gworkspace-mcp_calendar_events - Set calendar_id: "primary" - Set time_min: "${startDate}T00:00:00Z" - Set time_max: "${endDate}T23:59:59Z" - Set max_results: 100 - Set include_attendees: true Analyze and extract: - Total number of meetings/events - Total meeting hours - Average meeting duration - Longest meeting - Meeting distribution by day - Top meeting attendees/collaborators - Types of meetings (1:1s, team meetings, client calls, etc.) - Focus time blocks (gaps between meetings) `; } /** * Analyze Calendar data structure * @param {object} data - Raw Calendar data from MCP * @returns {object} Analyzed Calendar metrics */ export function analyzeCalendarData(data) { return { total_events: data.events?.length || 0, total_hours: data.totalHours || 0, meetings: data.events || [], }; }