SAP OData to MCP Server

Instructions

Implementation Reference

• src/tools/realtime-tools.ts:188-311 (handler)

  Main handler function for the 'kpi-dashboard-builder' tool. Handles actions: create, list, get, refresh. Uses RealtimeAnalyticsService and generates mock data for dashboard management.
  public async execute(args: z.infer<typeof this.inputSchema>): Promise<any> { logger.info('Managing KPI dashboard', { action: args.action, dashboardId: args.dashboardId }); const service = getRealtimeService(); try { switch (args.action) { case 'create': if (!args.dashboard) { throw new Error('Dashboard configuration is required for create action'); } const dashboardId = `dashboard_${Date.now()}_${Math.random().toString(36).substr(2, 6)}`; // Simulate dashboard creation const createdDashboard = { dashboardId, name: args.dashboard.name, description: args.dashboard.description || '', kpis: args.dashboard.kpis.map((kpi, index) => ({ widgetId: `widget_${dashboardId}_${index}`, name: kpi.name, type: kpi.type, entityType: kpi.entityType, serviceId: kpi.serviceId, aggregation: kpi.aggregation, timeWindow: kpi.timeWindow, currentValue: this.generateMockKPIValue(kpi.type), trend: this.generateMockTrend(), status: 'active', })), layout: { columns: 12, rows: Math.ceil(args.dashboard.kpis.length / 3), responsive: true, theme: 'sap_horizon', }, refreshInterval: args.dashboard.refreshInterval, created: new Date().toISOString(), status: 'active', }; return { success: true, message: `KPI Dashboard '${args.dashboard.name}' created successfully`, dashboard: createdDashboard, capabilities: [ 'Real-time data visualization', 'Automated threshold alerts', 'Trend analysis and forecasting', 'Interactive drill-down capabilities', ], nextSteps: [ 'Connect to real-time data stream for live updates', 'Configure alert thresholds and notifications', 'Customize visualization themes and layouts', ], }; case 'list': const dashboards = service.getDashboards(); return { success: true, dashboards: dashboards.map(d => ({ dashboardId: d.dashboardId, name: d.name, description: d.description, widgetCount: d.kpis.length, owner: d.owner, created: d.created, status: d.isActive ? 'active' : 'inactive', })), total: dashboards.length, summary: `Found ${dashboards.length} KPI dashboards`, }; case 'get': if (!args.dashboardId) { throw new Error('Dashboard ID is required for get action'); } // Simulate dashboard retrieval const mockDashboard = this.generateMockDashboard(args.dashboardId); return { success: true, dashboard: mockDashboard, realTimeStatus: 'connected', lastUpdated: new Date().toISOString(), }; case 'refresh': if (!args.dashboardId) { throw new Error('Dashboard ID is required for refresh action'); } // Simulate data refresh const refreshedData = this.generateMockRefreshData(); return { success: true, dashboardId: args.dashboardId, refreshed: new Date().toISOString(), updates: refreshedData, message: 'Dashboard data refreshed successfully', }; default: throw new Error(`Unknown action: ${args.action}`); } } catch (error: any) { logger.error('KPI Dashboard error', { error: error.message }); return { success: false, error: error.message, action: args.action, troubleshooting: [ 'Verify dashboard configuration is valid', 'Ensure entity types and service IDs exist', 'Check real-time data stream connectivity', ], }; } }
• src/tools/realtime-tools.ts:166-184 (schema)

  Zod input schema defining parameters for KPI dashboard operations including action types and dashboard configuration using KPIDashboardSchema.
  public readonly inputSchema = z .object({ action: z.enum(['create', 'update', 'delete', 'list', 'get', 'refresh']), dashboardId: z .string() .optional() .describe('Dashboard ID (required for update/delete/get/refresh)'), dashboard: KPIDashboardSchema.optional().describe( 'Dashboard configuration (required for create)' ), updates: z.record(z.any()).optional().describe('Fields to update (for update action)'), includeData: z .boolean() .optional() .default(false) .describe('Include current KPI data in response'), }) .strict() .describe('KPI dashboard management');
• src/tools/realtime-tools.ts:1122-1127 (registration)

  Array collecting instances of realtime tools including KPIDashboardBuilderTool for registration in MCP server.
  export const realtimeAnalyticsTools = [ new RealTimeDataStreamTool(), new KPIDashboardBuilderTool(), new PredictiveAnalyticsEngineTool(), new BusinessIntelligenceInsightsTool(), ];
• src/tools/realtime-tools.ts:357-384 (helper)

  Helper method generating mock dashboard data for 'get' action.
  private generateMockDashboard(dashboardId: string): any { return { dashboardId, name: 'SAP Business Overview', description: 'Real-time business metrics and KPIs', widgets: [ { widgetId: 'widget_1', name: 'Total Revenue', type: 'metric', currentValue: 1250000, trend: { direction: 'up', percentage: 12.5 }, status: 'healthy', }, { widgetId: 'widget_2', name: 'Sales Trend', type: 'chart', currentValue: [850, 920, 1100, 980, 1250, 1180, 1300], trend: { direction: 'up', percentage: 8.2 }, status: 'healthy', }, ], layout: { columns: 12, rows: 4, theme: 'sap_horizon' }, refreshInterval: ANALYTICS_INTERVALS.DASHBOARD_REFRESH, lastUpdated: new Date().toISOString(), }; }
• src/tools/realtime-tools.ts:313-345 (helper)

  Helper method generating mock KPI values based on widget type used in dashboard creation.
  private generateMockKPIValue(type: string): any { const mockValues = { metric: Math.floor(Math.random() * 10000) + 1000, chart: Array(7) .fill(0) .map(() => Math.floor(Math.random() * 1000)), gauge: Math.floor(Math.random() * 100), table: Array(5) .fill(0) .map((_, i) => ({ id: i + 1, value: Math.random() * 1000 })), heatmap: Array(5) .fill(0) .map(() => Array(5) .fill(0) .map(() => Math.random()) ), forecast: Array(10) .fill(0) .map((_, i) => ({ period: i + 1, predicted: Math.random() * 1000, confidence: 0.8 + Math.random() * 0.2, })), comparison: { current: Math.random() * 1000, previous: Math.random() * 1000, target: Math.random() * 1200, }, }; return mockValues[type as keyof typeof mockValues] || mockValues.metric; }