SCINABLE Inc. (Headquarters: Toshima-ku, Tokyo; Representative Director: Yuki Kobayashi) has launched the "MCP (Model Context Protocol) Server Function" as a beta version in the June 2026 update of its integrated MA/CRM platform, "EC Intelligence." This new feature allows users to perform data aggregation and analysis, previously done through the EC Intelligence management screen, simply by issuing natural language commands via their usual tools like "ChatGPT" and "Claude." Even staff with limited data analysis experience can leverage EC Intelligence's reporting functions through generative AI to proceed with data aggregation, graph creation, trend organization, insight extraction, and even strategy consideration. Development Background: Solving the "Numbers are Visible, but Insights Are Not" Problem While EC operations accumulate a large amount of data, interpreting it and translating it into actionable strategies requires a certain level of experience and knowledge, making it an area where performance can vary significantly among staff. SCINABLE has recognized the need to simplify data interpretation and make it easier for staff with less analytical experience to derive insights. The MCP server function is one means to achieve this. By enabling analysis through EC Intelligence's reporting functions from the familiar interface of generative AI tools, the aim is to allow users to advance analysis and strategy planning through dialogue, even without specialized data analysis knowledge. What Will Be Possible? With natural language instructions from ChatGPT or Claude, the AI will operate EC Intelligence's reporting functions to assist with the following tasks: Situation Assessment By inputting "Show me recent sales trends as a graph," the AI will aggregate order data using the reporting function and present the results as a graph on the chat screen, allowing for immediate understanding of numerical movements. Problem Identification Upon instruction like "Analyze purcha