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This is a Model Context Protocol (MCP) server that provides real time data from Japan’s Mercari (jp.mercari.com). It allows you to retrieve information about product and prices (more to come) to be analyzed by LLM.
MercariDB Analytics normalizes and analyzes 50,000 real listings from the Kaggle Mercari Price Suggestion Challenge dataset — the actual product catalogue of Japan's largest C2C marketplace, not a simulation. Every query starts with a business question.
End-to-end ML pipeline that prices secondhand marketplace listings from raw text and metadata — leak-safe feature engineering, a cross-validated model comparison, and a tested, containerized serving layer.