Mercury Project announced that it has integrated its AI agent infrastructure, "Mercury X (MERCURY X)," with ChatGPT and Claude via the MCP (Model Context Protocol), enabling it to be called and used directly within those environments.
With this integration, users no longer need to navigate through complex menus or generate reports. If they simply ask a one-line question in the chat window such as, "Are there any products at risk of stockout within the next 30 days?", Mercury X narrows down and displays the risky products based on available indicators such as recent purchase concentration, turnover speed, and rank changes, and also presents the rationale for why each item is at risk.
The key point of this MCP integration is role sharing. ChatGPT and Claude serve as conversational interfaces (the input) that receive the user's questions in natural language, while the actual data computation and decision-making are handled by Mercury X's agent system (the brain).
Users can simply ask questions as if they were talking to a person. For example,
"Which products should we push harder?"
"For this product, where should we sell it to make more profit?"
"How much inventory should we hold to stay safe?"
When users ask questions like these, Mercury X is designed to connect the entire flow from analysis to strategy to execution.
A Mercury Project representative said, "While most SaaS products use LLMs only as conversational interfaces, Mercury X is designed so that the agent system is responsible for judgment and execution, while minimizing the use of LLMs," adding, "This MCP integration shows that AI is evolving from being just a 'supportive tool' to a structure that actually performs work."
Mercury Project CEO Jung Jinmoon explained that many brands are experiencing declining profits despite sales growth, due to rising advertising costs and fees, inventory burdens, and discount competition. Ultimately, the key is not "We must sell more," but rather "We must make profit-generating decisions at the right time."
Mercury X provides analysis and decision-making information across overall brand operations, including SKU optimization, stockout and inventory risk detection, marketing budget allocation, and product, pricing, and channel management. Through this MCP integration, e-commerce operators can reduce the time spent searching for metrics and creating reports, and instead leverage a Q&A-style UX that allows them to confirm decision rationales and priorities instantly by asking questions in the chat window, so they can focus on making and executing decisions.
According to Mercury Project, since its launch in September 2025, Mercury X has been used by about 25 medium and large cosmetics, fashion, and F&B brands, and is being utilized for operational decisions that directly affect profits, including pricing, inventory, product, and advertising operations. The company added that, based on on-site deployment, the scope of application is expanding.
Building on its existing manpower-based Profit Operations experience, Mercury Project is further advancing MERCURY X into an AI agent infrastructure and is currently in discussions with domestic and overseas investors.
© The Asia Business Daily(www.asiae.co.kr). All rights reserved.

![Clutching a Stolen Dior Bag, Saying "I Hate Being Poor but Real"... The Grotesque Con of a "Human Knockoff" [Slate]](https://cwcontent.asiae.co.kr/asiaresize/183/2026021902243444107_1771435474.jpg)
