NE Inc. (Headquarters: Yokohama, Kanagawa Prefecture, CEO: Noriyoshi Higo, hereinafter "NE") has implemented an MCP (Model Context Protocol) server utilizing existing APIs within its SaaS-based EC backend system, "Next Engine". Through this initiative, we are developing a connectivity infrastructure that allows users to reference and aggregate business data managed on Next Engine, such as orders, sales, inventory, and products, simply by speaking to an AI agent. Initially, we will support the aggregation of order and sales data, confirmation of store-specific situations, understanding of sales performance by product, checking inventory breakdowns and movement history, and referencing order statuses and individual order information. Currently, this is limited to referencing and aggregating read-only data; it does not include updating business data or autonomous execution by AI. When retrieving individual order information, personal information fields such as purchaser name, address, phone number, and email address are excluded. ■ Background: In the era of AI agents, business systems shift from "operating" to "talking to and confirming." Traditionally, EC operators would open a management screen, search for necessary items, and read information on the screen to check orders, sales, inventory, and order status. However, with the spread of generative AI and AI agents, the user experience of business systems is changing. The experience of obtaining, aggregating, and summarizing necessary data simply by asking an AI, such as "Tell me this month's sales" or "Check the available inventory for this product," is beginning to expand. If such an experience becomes practical, EC operators can reduce the time spent on screen operations for data extraction and aggregation, allowing them to allocate more time to value-creation activities like sales promotion planning, product development, and customer support. NE believes that preparing business data managed on Next Engine to be ac