Tolstoy Shopper

Search products, view details, and try items on across stores powered by Tolstoy.

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
98%
命名质量
93%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~668token 数(工具定义)
~1.0 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.52%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "shopper": {
      "url": "https://apilb.gotolstoy.com/mcp/v1/shopper/mcp"
    }
  }
}

远程端点

https://apilb.gotolstoy.com/mcp/v1/shopper/mcpstreamable-http

它能做什么

工具清单

工具(3)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢search_products(query, limit, cursor, filters)

Search the catalog by a specific free-text query (e.g. a product name, material, or occasion the shopper named). In marketplace mode, searches across every brand store on Tolstoy — one catalog, no store selection needed. Use this only when the shopper names something specific to look for. For open-ended browsing, featured, best sellers, or a collection, use browse_products instead. When shopping a single brand, the optional `filters` (category/productType/tag) narrow the results. Each result carries a `productRef`; pass it to get_product for full details.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "description": "What the shopper is looking for."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 12,
      "description": "Maximum number of products to return."
    },
    "cursor": {
      "type": "string",
      "description": "Pagination cursor from a previous search result."
    },
    "filters": {
      "type": "object",
      "properties": {
        "category": {
          "type": "string",
          "description": "Restrict to a product category."
        },
        "productType": {
          "type": "string",
          "description": "Restrict to a product type."
        },
        "tag": {
          "type": "string",
          "description": "Restrict to products carrying this tag."
        }
      },
      "additionalProperties": false
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢get_product(productRef)

Load full details for one product by its `productRef` (from search_products or browse_products): description, price, media, the brand's real product videos, size guide, per-variant stock, and buy links. Returns each variant's id and options (size/color). Use it to resolve the exact `variantId` the shopper wants before calling build_cart, and to answer fit/sizing questions from the size guide. The response includes the product image so it can be seen directly.

输入模式

{
  "type": "object",
  "properties": {
    "productRef": {
      "type": "string",
      "minLength": 1,
      "description": "Product reference token from search_products."
    }
  },
  "required": [
    "productRef"
  ],
  "additionalProperties": false
}
⚪try_on(productRef)

Opens an interactive virtual try-on for a product (by `productRef` from `search_products`): the shopper uploads their photo and gets a photorealistic image of themselves wearing the actual product — true to the real garment. Only available for brands that enabled marketplace try-on; when unavailable, the response says so and the product can still be viewed via its store link.

输入模式

{
  "type": "object",
  "properties": {
    "productRef": {
      "type": "string",
      "minLength": 1,
      "description": "Product reference token from search_products."
    }
  },
  "required": [
    "productRef"
  ],
  "additionalProperties": false
}

社区

评价此服务器

证据

最近观测

已验证未记录版本3 个工具
已验证未记录版本3 个工具
已验证未记录版本3 个工具