shopping-mcp
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- FlicenseNot gradedqualityDmaintenanceEnables searching Amazon India products, retrieving details, tracking prices, managing favorites, and more with fast caching.-
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- FlicenseNot gradedqualityBmaintenanceEnables AI assistants to discover and search deals from Indian e-commerce stores like Amazon and Flipkart, with tools for trending, latest, category/price/store filtering, deal details, and affiliate link generation.-
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- AlicenseAqualityAmaintenanceEnables AI agents to retrieve live product prices, stock, variants, and deal ratings from Shopify, WooCommerce, Walmart, eBay, and Amazon by pasting product links and asking about price, availability, or comparisons.4MIT
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TDQS
Scored across 12 tools
Each tool has a clear and distinct purpose, with marketplace prefixes (Flipkart vs Amazon) and specific actions (search, get, compare, autosuggest, check delivery). No overlap or ambiguity between tools.
Most tools follow a verb_noun pattern (e.g., search_products, get_product, list_search_filters). A few tools like 'autosuggest' and 'amazon_search' lack a noun object, but the pattern is still clear and readable. The prefixing by marketplace is consistent.
12 tools is well-scoped for a shopping assistant covering two major marketplaces. Each tool serves a distinct step in the shopping workflow (search, refine, compare, check delivery), and none feel redundant or unnecessary.
The tool surface covers the full shopping journey: query correction, search with filters, product details, cross-marketplace comparison, and delivery estimation. The only missing operations (e.g., cart management) are typically outside the scope of an MCP server and would be handled by the storefront.