sf-beverage-skus
SF coffee, matcha, and chai catalog API: 439 SKUs across 13 merchants, prices in cents.
我該用這個嗎
品質與安全性
A
根據工具定義與協定合規性的自動化分析。
上下文成本
~308Token(工具定義)
~650 B典型回應大小
極小的注意力影響(128k 上下文的 0.24%)
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": {
"sf-beverage-skus": {
"url": "https://sf-beverage-skus.luff.workers.dev/mcp"
}
}
}遠端端點
https://sf-beverage-skus.luff.workers.dev/mcpstreamable-http它能做什麼
工具清單
工具(3)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢search_skus(category, lat, limit, lon, max_miles, ...)
Search SF beverage SKUs by item name, with optional category filter and geo search. Returns sku_id, merchant, distance, size, and price in integer cents.
輸入結構描述
{
"type": "object",
"properties": {
"category": {
"enum": [
"coffee",
"matcha",
"chai"
],
"type": "string"
},
"lat": {
"type": "number"
},
"limit": {
"default": 20,
"maximum": 100,
"type": "integer"
},
"lon": {
"type": "number"
},
"max_miles": {
"type": "number"
},
"q": {
"description": "item name substring, e.g. 'matcha latte'",
"type": "string"
},
"sort": {
"default": "distance",
"enum": [
"price",
"distance"
],
"type": "string"
}
}
}🟢get_sku(sku_id)
Full detail for one SKU: item, merchant, location, and every option group with choices and price deltas (cents).
輸入結構描述
{
"type": "object",
"properties": {
"sku_id": {
"description": "e.g. starbucks--matcha-latte--short",
"type": "string"
}
},
"required": [
"sku_id"
]
}🟢price_order(option_ids, sku_id)
Compute an order total: total_cents = sku.price_cents + SUM(option.price_delta_cents). Validates option_ids against the SKU; rejects unknown or inapplicable options.
輸入結構描述
{
"type": "object",
"properties": {
"option_ids": {
"items": {
"type": "string"
},
"type": "array"
},
"sku_id": {
"type": "string"
}
},
"required": [
"sku_id"
]
}社群
證據
近期觀測
已驗證未記錄版本3 個工具