SAP OData to MCP Server

Instructions

Implementation Reference

• src/tools/ai-enhanced-tools.ts:385-439 (handler)

  The main execute method of BusinessProcessInsightsTool that takes process data, uses AI to generate insights, extracts metrics, identifies bottlenecks and opportunities, and returns analysis with recommendations.

  async execute(params: any): Promise<any> {
    try {
      logger.info('Analyzing business process', {
        processType: params.processType,
        dataPoints: params.processData.length,
        timeframe: params.timeframe,
      });
  
      const prompt = this.buildProcessAnalysisPrompt(params);
  
      const insights = await aiIntegration.generateBusinessInsights(
        params.processData,
        `${params.processType}Process`,
        prompt
      );
  
      const processAnalysis = {
        summary: `Analysis of ${params.processType} process over ${params.timeframe || 'specified period'}`,
        keyMetrics: this.extractKeyMetrics(params.processData, params.processType),
        bottlenecks: insights
          .filter((i: any) => i.type === 'risk')
          .map((i: any) => i.title)
          .slice(0, 5),
        optimizationOpportunities: insights
          .filter((i: any) => i.type === 'trend')
          .map((i: any) => `Optimize ${i.title}`)
          .slice(0, 5),
        riskAreas: insights
          .filter((i: any) => i.type === 'risk')
          .map((i: any) => i.description)
          .slice(0, 3),
      };
  
      const recommendations = insights.map((insight: any) => ({
        title: insight.title,
        description: insight.description,
        priority: insight.impact,
        estimatedImpact: `${insight.impact} business impact`,
        implementationEffort: 'Medium effort required',
      }));
  
      return {
        success: true,
        processAnalysis,
        recommendations,
      };
    } catch (error) {
      const errorMessage = error instanceof Error ? error.message : 'Unknown error';
      logger.error('Business process analysis failed', { error: errorMessage });
  
      return {
        success: false,
        error: errorMessage,
      };
    }

• src/tools/ai-enhanced-tools.ts:356-383 (schema)

  Input schema defining the parameters for the business process insights tool: processType (enum), processData (array of objects), optional timeframe and focusAreas.

  inputSchema = {
    type: 'object' as const,
    properties: {
      processType: {
        type: 'string' as const,
        enum: ['procurement', 'sales', 'finance', 'inventory', 'hr', 'general'] as const,
        description: 'Type of business process to analyze',
      },
      processData: {
        type: 'array' as const,
        items: { type: 'object' as const },
        description: 'Historical process execution data',
      },
      timeframe: {
        type: 'string' as const,
        description: 'Analysis timeframe (e.g., "last 30 days", "Q3 2024")',
      },
      focusAreas: {
        type: 'array' as const,
        items: {
          type: 'string' as const,
          enum: ['efficiency', 'costs', 'compliance', 'quality', 'speed'] as const,
        },
        description: 'Specific areas to focus the analysis on',
      },
    },
    required: ['processType', 'processData'],
  };

• src/tools/ai-enhanced-tools.ts:462-467 (registration)

  Registration of the BusinessProcessInsightsTool instance in the aiEnhancedTools array, which is likely used for tool discovery and registration in the MCP server.

  export const aiEnhancedTools = [
    new NaturalQueryBuilderTool(),
    new SmartDataAnalysisTool(),
    new QueryPerformanceOptimizerTool(),
    new BusinessProcessInsightsTool(),
  ];

• src/tools/ai-enhanced-tools.ts:442-458 (helper)

  Helper methods: buildProcessAnalysisPrompt generates the AI prompt for analysis, extractKeyMetrics computes basic metrics from process data (currently stubbed).

  private buildProcessAnalysisPrompt(params: any): string {
    return `Analyze ${params.processType} business process data for insights:
        
        Data points: ${params.processData.length}
        Timeframe: ${params.timeframe || 'Not specified'}
        Focus areas: ${params.focusAreas?.join(', ') || 'General analysis'}
        
        Identify bottlenecks, inefficiencies, and optimization opportunities.`;
  }
  
  private extractKeyMetrics(data: any[], processType: string): Record<string, any> {
    return {
      totalRecords: data.length,
      averageProcessingTime: 0,
      completionRate: 0,
    };
  }

• src/tools/ai-enhanced-tools.ts:350-354 (handler)

  Class declaration with tool name and description, implementing the MCP Tool interface.

  export class BusinessProcessInsightsTool implements Tool {
    [key: string]: unknown;
    name = 'business-process-insights';
    description =
      'Analyze SAP business processes to identify bottlenecks, inefficiencies, and optimization opportunities using AI.';