Storefront Check

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

使うべきか

品質と安全性

A
説明の品質
100%
スキーマの完全性
100%
命名の品質
95%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~529トークン数(ツール定義)
~625 B一般的なレスポンスサイズ
注意への影響は最小限(128k コンテキストの 0.41%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

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

リモートエンドポイント

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

できること

ツール一覧

ツール(4)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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"
  ]
}

コミュニティ

このサーバーを評価する

エビデンス

最近の観測

検証済みバージョンは記録されていませんツール 4 件