Cloud Commerce Platform 'EBISUMART' Begins Development of MCP Server
Interfactory Co., Ltd. has announced the development of a dedicated MCP (Model Context Protocol) server for its cloud commerce platform, 'EBISUMART.' This initiative aims to enable e-commerce operators to streamline routine tasks such as product registration and inventory management through generative AI, allowing them to focus on strategic marketing activities. The project is currently in the technical verification phase, with a long-term goal of enabling advanced operational automation via AI agents.
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- 📰 Published: May 29, 2026 at 11:10
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Interfactory Co., Ltd. (Headquarters: Chiyoda-ku, Tokyo; President & CEO: Noboru Kaburagi) has announced that its cloud commerce platform, 'EBISUMART,' has begun development of a dedicated MCP (Model Context Protocol) server to connect AI models with external data and tools using standardized protocols.
This will allow e-commerce operators using EBISUMART to streamline daily operations by issuing instructions through generative AI. In the future, the company aims to go beyond traditional API integration, creating an environment where operators can directly and swiftly utilize EBISUMART's high customizability through AI.
Background of Daily E-commerce Operational Challenges and MCP Server Development
E-commerce site operations involve vast amounts of manual work, such as product registration, inventory updates, order management, and campaign settings. Currently, these manual processes are prone to input errors and consume significant man-hours on simple tasks like data formatting.
Interfactory aims to reduce the burden of routine work and verification tasks by applying AI and the MCP server to EBISUMART. The company has started building an AI support environment to allow operators to focus on essential tasks like marketing and promotional strategies.
Future Vision Realized by the MCP Server
With the provision of this MCP server, AI (LLM) will be able to understand the system structure of EBISUMART and support the daily operational tasks of e-commerce operators.
Smooth Complex Operations via AI Conversation
For example, operators can streamline tasks by simply giving daily instructions such as 'Set the price of products for tomorrow's sale to 10% off' or 'Create a customer list with specific criteria,' allowing the AI to operate the EBISUMART management screen via the MCP server.
Improving Execution Speed by Reducing Operational Man-hours
By having the AI explain data characteristics in simple terms or guide users through management screen settings, the time spent on manual operations and checking manuals will be reduced.
This enables operators to focus on planning and executing promotional strategies, as well as new product planning and attentive customer service, ultimately leading to faster execution of business initiatives.
Faster Advanced E-commerce Operations through AI Dialogue
In the future, the company aims to realize complex data extraction and various management screen settings based on AI prompts. This is intended to build an environment that smoothly fulfills the 'wants' of e-commerce operators.
Comment from Interfactory Executive Officer and CTO
Generative AI initially spread as a service for generating text and images, but it is now capable of actually executing various tasks as an AI agent. The mechanism that enables these AI agents to 'execute' processes is the MCP server.
Interfactory has begun development of the MCP server as a next-generation technical foundation for the AI agent era.
First, we will utilize the MCP server as a mechanism for the EBISUMART-exclusive AI chatbot to correctly understand system data and smoothly guide or assist with complex setting changes on the management screen.
In the future, an 'AI-native' world will arrive where all systems and AI are connected via MCP, and AI is used in every business task.
EBISUMART will continue to enhance AI functions, including this MCP server feature, to support the operations of e-commerce businesses as an e-commerce platform in an AI-native world.
Interfactory Executive Officer and CTO, Ken Mizuno
Future Outlook
We are currently in the technical verification and architecture design phase for the introduction of the MCP server, and we will proceed with the development of specific features sequentially. While maintaining the latest SaaS capabilities and freedom of customization, EBISUMART will build an e-commerce environment where AI absorbs system complexity, allowing operators to focus on promotional activities.
This will allow e-commerce operators using EBISUMART to streamline daily operations by issuing instructions through generative AI. In the future, the company aims to go beyond traditional API integration, creating an environment where operators can directly and swiftly utilize EBISUMART's high customizability through AI.
Background of Daily E-commerce Operational Challenges and MCP Server Development
E-commerce site operations involve vast amounts of manual work, such as product registration, inventory updates, order management, and campaign settings. Currently, these manual processes are prone to input errors and consume significant man-hours on simple tasks like data formatting.
Interfactory aims to reduce the burden of routine work and verification tasks by applying AI and the MCP server to EBISUMART. The company has started building an AI support environment to allow operators to focus on essential tasks like marketing and promotional strategies.
Future Vision Realized by the MCP Server
With the provision of this MCP server, AI (LLM) will be able to understand the system structure of EBISUMART and support the daily operational tasks of e-commerce operators.
Smooth Complex Operations via AI Conversation
For example, operators can streamline tasks by simply giving daily instructions such as 'Set the price of products for tomorrow's sale to 10% off' or 'Create a customer list with specific criteria,' allowing the AI to operate the EBISUMART management screen via the MCP server.
Improving Execution Speed by Reducing Operational Man-hours
By having the AI explain data characteristics in simple terms or guide users through management screen settings, the time spent on manual operations and checking manuals will be reduced.
This enables operators to focus on planning and executing promotional strategies, as well as new product planning and attentive customer service, ultimately leading to faster execution of business initiatives.
Faster Advanced E-commerce Operations through AI Dialogue
In the future, the company aims to realize complex data extraction and various management screen settings based on AI prompts. This is intended to build an environment that smoothly fulfills the 'wants' of e-commerce operators.
Comment from Interfactory Executive Officer and CTO
Generative AI initially spread as a service for generating text and images, but it is now capable of actually executing various tasks as an AI agent. The mechanism that enables these AI agents to 'execute' processes is the MCP server.
Interfactory has begun development of the MCP server as a next-generation technical foundation for the AI agent era.
First, we will utilize the MCP server as a mechanism for the EBISUMART-exclusive AI chatbot to correctly understand system data and smoothly guide or assist with complex setting changes on the management screen.
In the future, an 'AI-native' world will arrive where all systems and AI are connected via MCP, and AI is used in every business task.
EBISUMART will continue to enhance AI functions, including this MCP server feature, to support the operations of e-commerce businesses as an e-commerce platform in an AI-native world.
Interfactory Executive Officer and CTO, Ken Mizuno
Future Outlook
We are currently in the technical verification and architecture design phase for the introduction of the MCP server, and we will proceed with the development of specific features sequentially. While maintaining the latest SaaS capabilities and freedom of customization, EBISUMART will build an e-commerce environment where AI absorbs system complexity, allowing operators to focus on promotional activities.
FAQ
What can Taiwanese e-commerce businesses learn from this?
They can learn the importance of delegating routine management tasks to AI to minimize human error and focus on strategic marketing.