Perkusai (US)

AI shopping search: real, in-stock US and Amazon products with prices, ratings and buy links.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
100%
命名品質
100%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~339Token(工具定義)
~1.5 KB典型回應大小
極小的注意力影響(128k 上下文的 0.26%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "search": {
      "url": "https://mcp.perkusai.com/"
    }
  }
}

遠端端點

https://mcp.perkusai.com/streamable-http

它能做什麼

工具清單

工具(1)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢search_products(query, k, lang)

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.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "description": "The shopper's request, in natural language.",
      "title": "Query",
      "type": "string"
    },
    "k": {
      "default": 5,
      "description": "How many products to return (1-12).",
      "maximum": 12,
      "minimum": 1,
      "title": "K",
      "type": "integer"
    },
    "lang": {
      "default": "en",
      "description": "Response language hint. This catalogue is served in English.",
      "title": "Lang",
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_productsArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "search_productsDictOutput"
}

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證據

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