Summary MCP

Instructions

Implementation Reference

• src/tools/quick-stats.js:16-78 (handler)

  Main handler function implementing the get_quick_stats tool. Generates data collection instructions for quick productivity metrics across Slack, Calendar, and Gmail, and processes provided stats data.
  export async function getQuickStats(args) { const startTime = Date.now(); try { // Calculate date range const { startDate, endDate, days } = calculateDateRange(args); // Generate lightweight data collection instructions const instructions = ` # Quick Stats Data Collection Collect basic metrics for **${startDate} to ${endDate}** (${days} days): ## Slack Metrics Use mcp_playground-slack-mcp_slack_my_messages: - Count total messages - List top 5 channels by activity - Count threads participated in ## Calendar Metrics Use mcp_gworkspace-mcp_calendar_events: - Count total events - Calculate total meeting hours - Identify longest meeting ## Gmail Metrics Use mcp_gworkspace-mcp_read_mail (lightweight - no body): - Count emails sent (from:me) - Count emails received - List top 3 email contacts Return raw counts and lists only - no deep analysis needed. `; const result = { success: true, message: 'Quick stats collection initiated. Follow instructions to gather lightweight metrics.', period: { start: startDate, end: endDate, days, }, instructions, note: 'This tool provides a faster alternative to full summary generation. Collect basic metrics only without detailed analysis.', }; // If stats data is provided, structure it if (args.stats_data) { result.stats = processStatsData(args.stats_data); } result.generation_time_ms = Date.now() - startTime; return result; } catch (error) { throw { code: error.code || 'STATS_FAILED', message: error.message || 'Failed to get quick stats', details: error.details || error.stack, }; } }
• src/tools/index.js:152-177 (schema)

  Input schema and metadata definition for the get_quick_stats tool, used for MCP tool registration.
  { name: 'get_quick_stats', description: 'Get quick productivity metrics (Slack, Calendar, Gmail) without generating a full summary. Fast lightweight query.', inputSchema: { type: 'object', properties: { days_back: { type: 'integer', description: 'Number of days to analyze (default: 7)', default: 7, minimum: 1, maximum: 90, }, start_date: { type: 'string', description: 'Optional start date in YYYY-MM-DD format', pattern: '^\\d{4}-\\d{2}-\\d{2}$', }, end_date: { type: 'string', description: 'Optional end date in YYYY-MM-DD format', pattern: '^\\d{4}-\\d{2}-\\d{2}$', }, }, }, },
• src/tools/handler.js:39-41 (registration)

  Switch case registration in the main tool handler that routes 'get_quick_stats' calls to the getQuickStats implementation.
  case 'get_quick_stats': result = await getQuickStats(args); break;
• src/tools/quick-stats.js:83-106 (helper)

  Helper function to structure and normalize collected stats data from Slack, Calendar, and Email sources.
  function processStatsData(data) { return { slack: { total_messages: data.slack?.total_messages || 0, top_channels: data.slack?.top_channels || [], threads_participated: data.slack?.threads_participated || 0, reactions_given: data.slack?.reactions_given || 0, reactions_received: data.slack?.reactions_received || 0, }, calendar: { total_events: data.calendar?.total_events || 0, total_meeting_hours: data.calendar?.total_meeting_hours || 0, average_daily_meetings: data.calendar?.average_daily_meetings || 0, longest_meeting_hours: data.calendar?.longest_meeting_hours || 0, focus_time_hours: data.calendar?.focus_time_hours || 0, }, email: { total_emails: data.email?.total_emails || 0, emails_sent: data.email?.emails_sent || 0, emails_received: data.email?.emails_received || 0, top_contacts: data.email?.top_contacts || [], }, }; }