technolife-mcp
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datawebot MCP serverofficial
AlicenseNot gradedqualityAmaintenanceEnables AI agents to search products across online shops worldwide and retrieve each seller's price, shipping total, delivery note, rating, and direct product link.3MIT
TDQS
Scored across 19 tools
The descriptions explicitly delineate boundaries and cross-reference alternatives: tl_suggest vs tl_search, tl_find_cheapest vs tl_search, tl_product vs tl_compare, tl_reviews vs tl_shop_reviews, and tl_deals vs tl_campaigns. While several tools return product listings, each has a distinct trigger and output, so an agent can reliably select the right tool.
All tools use a consistent tl_ prefix and snake_case, which is predictable. The only minor deviation is that some are verb-led (tl_find_cheapest, tl_reverse_geocode, tl_price_basket) while others are noun-led (tl_product, tl_categories, tl_reviews), but the pattern remains readable.
With 19 tools covering search, pricing, reviews, categories, deals, campaigns, seller info, store support, and geolocation, the set is slightly above the typical 3-15 range. However, each tool maps to a distinct endpoint or function, so the count is reasonable for a comprehensive e-commerce research server rather than redundant.
The surface covers discovery, product offers, comparison, reviews, seller reputation, deals, campaigns, store info/FAQ, and location services. Minor gaps exist: there is no direct single-product spec retrieval (tl_compare requires 2-5 products) and no transactional cart/order tools, but the read-only research workflow is otherwise well-covered.