Logimu Shopping MCP is an MCP (Model Context Protocol) connector for bringing real shopping data into Claude, ChatGPT, and any MCP-compatible client. Its official positioning is to solve the problem that AI assistants are good at comparing products but struggle to grasp today's prices, actual inventory, and the reality behind "bestseller" labels.
Purpose The tool lets AI assistants obtain observed data from Amazon (United States, United Kingdom, Germany, Canada, Australia, France, Italy, Spain, Japan, Mexico, Brazil) and Walmart US, including current prices, real-time inventory, real ratings, price and BSR history, and candidate product lists organized by category or price range. The data comes from a continuously refreshed repository of more than 17 million tracked products.
Main capabilities Official example questions include: find the best coffee maker under $80 (returns a candidate list grouped by category or price range); determine whether a given ASIN is worth buying right now (returns price, inventory, Buy Box seller, 30-day price and inventory changes, brand statistics); filter high-rated dehumidifiers under $150 with more than 1,000 reviews (structured repository filtering). Paid plan tools include seller, brand, category, market_lists, and keywords; these tools appear in tools/list only under a paid plan key; the stub in the repository lists the full catalog so that catalog sites can see it. The official documentation emphasizes that every derived number is an observed count or proportion from Logimu's own data, not an estimate; "observed since" is the starting point of the data horizon, not the founding date. Keyword answers come from Amazon's own suggestion ranking observations and represent only position within the same list; they do not include search volume figures and are not a product ranking mapping.
How to use Official hosted MCP endpoint is https://api.logimu.com/mcp。免费、无需注册，每天 30 queries. The repository provides an introspection-only stdio stub, logimu-mcp-stub, so that catalog-building tools can enumerate tools without credentials; tools/call on this stub returns guidance pointing to the hosted endpoint. The full REST API reference uses the same engine and the same data as MCP, at api.logimu.com/docs. The product page is logimu.com/shopping-mcp, and the API console and plans are at api.logimu.com.
Use cases Suitable for scenarios that require AI assistants to answer shopping questions based on real prices, inventory, ratings, and historical data, such as product comparison, purchase timing decisions, and filtering products by rating and review count.
Limitations and notes Every record carries an observed_at timestamp, and the data comes from repository observations rather than a retailer's real-time data stream. The official statement is that there is no affiliate or seller relationship with any product returned by the tools, and no product receives a higher ranking because of payment. Failed or empty requests are not billed at any tier. The service is not affiliated with Amazon or Walmart. The privacy policy, terms, and refund policy are at logimu.com/privacy-policy, logimu.com/terms, and logimu.com/refund-policy, respectively. The support contact email is support@logimu.com.
