EBISU PIM adds MCP so ChatGPT, Claude can query product data

Interfactory frames the launch around a common gap: businesses adopt ChatGPT and Claude, yet their own product data — SKUs, attributes, mall-specific descriptions — is hard to connect to those tools safely and accurately. That leaves PIM systems as little more than a place to store data.

The company's answer is MCP, an open standard it describes as gaining adoption among major generative AI services and acting as a common language between AI and external systems. By building the MCP server into EBISU PIM, Interfactory positions the platform as a shared data-access layer for multiple AI tools, which it says can hold down the development cost of extending or customizing AI applications. Authentication runs through EBISU PIM, and the vendor lists uses such as duplicate detection, description scoring, e-commerce mall text generation and spotting missing fields.

Looking ahead, Interfactory says it intends to support data registration and updates as well, aiming to turn EBISU PIM into an infrastructure layer for corporate AI use — what it calls a dedicated AI that knows everything about a company's products. Whether that broader role materializes may depend on how quickly the MCP standard spreads among the AI services businesses already use.