sf-beverage-skus

SF coffee, matcha, and chai catalog API: 439 SKUs across 13 merchants, prices in cents.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
84%
Naming quality
93%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~308Tokens (tool definitions)
~650 BTypical response size
Minimal attention impact (0.24% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "sf-beverage-skus": {
      "url": "https://sf-beverage-skus.luff.workers.dev/mcp"
    }
  }
}

Remote endpoints

https://sf-beverage-skus.luff.workers.dev/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢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.

Input Schema

{
  "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).

Input Schema

{
  "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.

Input Schema

{
  "type": "object",
  "properties": {
    "option_ids": {
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "sku_id": {
      "type": "string"
    }
  },
  "required": [
    "sku_id"
  ]
}

Community

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Evidence

Recent observations

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