AI Catalog by Crescendo Lab
Check if a product feed is ready for AI shopping (ChatGPT, Gemini, AI Mode): score, gaps, fixes.
使うべきか
品質と安全性
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
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": {
"ai-catalog": {
"url": "https://catalog.cresclab.com/api/mcp/"
}
}
}リモートエンドポイント
https://catalog.cresclab.com/api/mcp/streamable-httpできること
ツール一覧
ツール（3）
🟢scan_product_feed(feed_url, locale)
Fetch a public product feed once and score how well AI shopping assistants can understand it (0-100). Returns the biggest gaps (share of products affected), sample shopper questions AI could not answer from the feed, the thinnest products, and a link to fix the gaps. Accepts Google Merchant / Facebook catalog XML, CSV, TSV, or a Shopify store URL. Takes 20-60 seconds. Only summary results are stored.
入力スキーマ
{
"type": "object",
"properties": {
"feed_url": {
"type": "string",
"description": "Public URL of the product feed or Shopify store, e.g. https://example.com/feed.xml or https://shop.example.com"
},
"locale": {
"type": "string",
"enum": [
"en",
"zh-TW"
],
"description": "Language for shopper questions and labels (default en)."
}
},
"required": [
"feed_url"
]
}🟢get_feed_fix_guide(issue_key)
Explain what a gap from scan_product_feed means, why AI shopping assistants need that data, and how to fix it with evidence the merchant already owns. Call with no argument to get the full checklist.
入力スキーマ
{
"type": "object",
"properties": {
"issue_key": {
"type": "string",
"description": "Issue key from scan_product_feed, e.g. no_specs, thin_desc, llm_unanswerable. Omit for all."
}
}
}🟢list_ai_shopping_platforms
List the main AI shopping surfaces and how product data reaches each one (e.g. Google Merchant Center for Gemini / AI Mode / Shopping; ChatGPT merchant program). Overview only, not a list of live integrations.
入力スキーマ
{
"type": "object",
"properties": {}
}コミュニティ
エビデンス