The manufacturing industry faces two significant challenges: declining added value due to industrial restructuring and an aging workforce stemming from demographic shifts. In the machining sector, leveraging big data from machine tools has become increasingly critical for enhancing productivity and implementing intelligent manufacturing systems. However, varying data formats and communication methods across different equipment hinder efficient integration, posing a major barrier to the digital transformation of manufacturing. This study develops an integrated server system to facilitate the digital transformation of the machining industry by enabling effective collection, storage, processing, and analysis of data from machine tools. The system features a standardized protocol-based interface for consistent data collection and control across heterogeneous CNC machine tools. By leveraging IEC 62541 OPC UA (Open Platform Communication Unified Architecture) and OPC 40501-1 UMATI (Universal Machine Technology Interface), it ensures interoperability with upper-level applications through standardized information models. The proposed approach addresses inefficiencies in vendor-dependent CNC data systems, providing consistent data management for diverse equipment. By enhancing real-time data handling and eliminating integration challenges, the system contributes to the digital transformation of the manufacturing sector and the creation of an efficient production environment.