Storefront Check

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

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
95%
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

~529Token(工具定義)
~625 B典型回應大小
極小的注意力影響(128k 上下文的 0.41%)

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

遠端端點

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

它能做什麼

工具清單

工具(4)

🟢 唯讀🟡 寫入🔴 刪除⚪ 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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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"
  ]
}

社群

為此伺服器評分

證據

近期觀測

已驗證未記錄版本4 個工具