AI shopping search: real, in-stock US and Amazon products with prices, ratings and buy links.
Scored across 1 tool
With only one tool, there is no ambiguity. The tool's purpose is clearly defined as searching for products, and no other tools exist to potentially overlap or confuse.
The single tool uses a clear verb_noun pattern ('search_products'), which is consistent. Since there is only one tool, naming conventions are perfectly uniform.
The server has exactly one tool, which is on the low end. While a focused search service can function with a single tool, typical well-scoped servers have 3–15 tools, making this feel thin but not unreasonable.
The tool provides comprehensive search results including price, rating, stock, affiliate link, and markdown output. However, the server lacks any additional tools for filtering, sorting, or retrieving product details, which are minor gaps for a more advanced search experience.
Search Perkusai for real, in-stock products in amazon.com (prices in US dollars).
Describe what the shopper wants in natural language - e.g. "a full-size basketball", "espresso machine under $200", "wireless earbuds for running". Returns
matching products with title, price, rating, stock, market and an affiliate `buy_url` (present
it as the purchase link - the price is unchanged for the buyer), plus a `guide`, `coverage`
and a paste-ready `markdown` block.
Args:
query: The shopper's request, in natural language.
k: How many products to return (1-12).
lang: Response language hint. This catalogue is served in English.
Inputs: query (required), k, lang. Returns: object
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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AI shopping comparison — search 50M+ products, compare prices, find deals
AI shopping search: real, in-stock Lithuanian and EU products with prices, ratings and buy links.
US shopping research with real prices, sellers, and purchase links from Amazon, Best Buy, Walmart.
Product research for AI agents: review-synthesized verdicts, specs, prices and seller quotes.
Add one secure layer between your agents and this server.
