SAP OData to MCP Server

Instructions

Implementation Reference

• src/tools/ai-enhanced-tools.ts:55-103 (handler)

  Main handler function of the natural-query-builder tool. Takes natural language query, entityType, serviceId; creates mock entity metadata, calls aiQueryBuilder service to generate optimized OData query, returns execution URL and suggestions.

  async execute(params: any): Promise<any> {
    try {
      logger.debug('Processing natural language query', {
        query: params.naturalQuery,
        entityType: params.entityType,
      });
  
      const mockEntityType = this.createMockEntityType(params.entityType);
  
      const result = await aiQueryBuilder.buildQueryFromNaturalLanguage(
        params.naturalQuery,
        mockEntityType,
        params.userContext
      );
  
      const executionUrl = `${params.serviceId}/${result.optimizedQuery.url}`;
      const suggestions = [
        `Try: "${this.generateSuggestion(params.naturalQuery, mockEntityType)}"`,
        'Add time filters for better performance',
        'Specify fields you need to optimize data transfer',
      ];
  
      logger.info('Successfully generated natural query', {
        originalQuery: params.naturalQuery,
        optimizedUrl: result.optimizedQuery.url,
        confidence: result.optimizedQuery.confidence,
      });
  
      return {
        success: true,
        result,
        executionUrl,
        suggestions,
      };
    } catch (error) {
      const errorMessage = error instanceof Error ? error.message : 'Unknown error';
      logger.error('Natural query builder failed', { error: errorMessage });
  
      return {
        success: false,
        error: errorMessage,
        suggestions: [
          'Try using simpler language',
          'Specify the entity type more clearly',
          'Check if the service is available',
        ],
      };
    }
  }

• src/tools/ai-enhanced-tools.ts:24-53 (schema)

  Input schema definition for the natural-query-builder tool, specifying required naturalQuery, entityType, serviceId and optional userContext.

  inputSchema = {
    type: 'object' as const,
    properties: {
      naturalQuery: {
        type: 'string' as const,
        description:
          'Natural language query (e.g., "Show me all pending invoices from this month with amounts over 1000 euros")',
      },
      entityType: {
        type: 'string' as const,
        description: 'Target SAP entity type (e.g., "Invoice", "PurchaseOrder", "Customer")',
      },
      serviceId: {
        type: 'string' as const,
        description: 'SAP service identifier',
      },
      userContext: {
        type: 'object' as const,
        properties: {
          role: { type: 'string' as const },
          businessContext: { type: 'string' as const },
          preferredFields: {
            type: 'array' as const,
            items: { type: 'string' as const },
          },
        },
      },
    },
    required: ['naturalQuery', 'entityType', 'serviceId'],
  };

• src/tools/ai-enhanced-tools.ts:105-151 (helper)

  Supporting helper: createMockEntityType generates mock SAP EntityType metadata from entity name, adding specific properties for Invoice/Customer or generic.

  createMockEntityType(entityTypeName: string): EntityType {
    const baseProperties = [
      { name: 'ID', type: 'Edm.String', nullable: false },
      { name: 'CreatedDate', type: 'Edm.DateTime', nullable: true },
      { name: 'Status', type: 'Edm.String', nullable: true },
    ];
  
    let specificProperties: any[] = [];
  
    if (entityTypeName.toLowerCase().includes('invoice')) {
      specificProperties = [
        { name: 'InvoiceNumber', type: 'Edm.String', nullable: false },
        { name: 'Amount', type: 'Edm.Double', nullable: false },
        { name: 'DueDate', type: 'Edm.DateTime', nullable: true },
        { name: 'CustomerName', type: 'Edm.String', nullable: true },
        { name: 'Currency', type: 'Edm.String', nullable: true },
      ];
    } else if (entityTypeName.toLowerCase().includes('customer')) {
      specificProperties = [
        { name: 'CustomerNumber', type: 'Edm.String', nullable: false },
        { name: 'Name', type: 'Edm.String', nullable: false },
        { name: 'Email', type: 'Edm.String', nullable: true },
        { name: 'Address', type: 'Edm.String', nullable: true },
        { name: 'Country', type: 'Edm.String', nullable: true },
      ];
    } else {
      specificProperties = [
        { name: 'Name', type: 'Edm.String', nullable: true },
        { name: 'Description', type: 'Edm.String', nullable: true },
        { name: 'Value', type: 'Edm.Double', nullable: true },
      ];
    }
  
    return {
      name: entityTypeName,
      namespace: 'SAP',
      entitySet: `${entityTypeName}Set`,
      keys: specificProperties.length > 0 ? [specificProperties[0].name] : ['ID'],
      properties: [...baseProperties, ...specificProperties],
      navigationProperties: [],
      // Add missing properties for EntityType compatibility
      creatable: true,
      updatable: true,
      deletable: true,
      addressable: true,
    };
  }

• src/tools/ai-enhanced-tools.ts:153-162 (helper)

  Supporting helper: generateSuggestion provides example query suggestions based on entity type for user guidance.

  private generateSuggestion(originalQuery: string, entityType: EntityType): string {
    const suggestions = [
      `Show me recent ${entityType.name.toLowerCase()}s from this week`,
      `Find ${entityType.name.toLowerCase()}s with high values`,
      `List all pending ${entityType.name.toLowerCase()}s sorted by date`,
      `Get ${entityType.name.toLowerCase()}s created today`,
    ];
  
    return suggestions[Math.floor(Math.random() * suggestions.length)];
  }

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

  Registration: Exports array of tool instances including natural-query-builder for use in MCP server tool registry.

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