Storefront Check

Audit any storefront from outside: ad tags, dead-tag detection, AI crawler access, feed readiness.

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质量与安全性

A
描述质量
100%
模式完整度
100%
命名质量
95%
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

~529token 数(工具定义)
~625 B典型响应大小
对注意力的影响极小(占 128k 上下文窗口的 0.41%)

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": {
    "storefront-check": {
      "url": "https://tools.profitpather.com/store/mcp"
    }
  }
}

远程端点

https://tools.profitpather.com/store/mcpstreamable-http

它能做什么

工具清单

工具(4)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢detect_tracking_tags(url, verify_google_ids)

Reads a public storefront and reports every advertising, analytics and marketing tag visible in its HTML, with the actual measurement ids. It then verifies each Google id against Google Tag Manager, because an id Google does not recognise returns 404 and silently stops gtag from initialising, which means a campaign can spend for months while recording zero conversions. Use this to explain why conversion tracking is wrong, or to see what a store you have no access to is running.

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The storefront URL, for example example.com or https://example.com."
    },
    "verify_google_ids": {
      "type": "boolean",
      "description": "Check each Google id against Google Tag Manager to catch dead ids. Default true."
    }
  },
  "required": [
    "url"
  ]
}
🟢check_agent_readiness(url)

Determines whether an AI agent can actually discover and parse a store: whether robots.txt permits each major AI crawler by name, whether a sitemap, llms.txt, product feed or MCP endpoint exists, and whether the catalogue is machine readable. Use this when asked why a store never appears in AI assistants or agent shopping results.

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The store's domain, for example example.com."
    }
  },
  "required": [
    "url"
  ]
}
🟢check_structured_data(url)

Parses every JSON-LD block on a page and reports the schema.org types found, blocks that fail to parse, and whether the types a shopping agent looks for are present. Point it at a product page to check Product and Offer markup, or at a homepage to check Organization and WebSite.

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The exact page URL to inspect. Use a product URL to check Product markup."
    }
  },
  "required": [
    "url"
  ]
}
⚪audit_product_feed(url, limit)

Reads a Shopify store's public products.json and reports what would break a Google Merchant Center or Meta catalogue feed: missing barcodes, absent weights, unpriced or unavailable variants, and thin descriptions. Shopify-only, because products.json is a Shopify endpoint.

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The Shopify store domain, for example example.com."
    },
    "limit": {
      "type": "integer",
      "description": "How many products to sample, 1 to 250. Default 250."
    }
  },
  "required": [
    "url"
  ]
}

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已验证未记录版本4 个工具