DAIly outfits
What to wear today by city weather and travel packing lists by destination. Public, read-only.
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
~398Token(工具定義)
~842 B典型回應大小
極小的注意力影響(128k 上下文的 0.31%)
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": {
"daily-outfits": {
"url": "https://traveloutfit.vercel.app/mcp"
}
}
}遠端端點
https://traveloutfit.vercel.app/mcpstreamable-http它能做什麼
工具清單
工具(3)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢get_product_info(lang)
What DAIly outfits is (AI outfit planner / digital closet app), who it's for, price (free), platforms and download link.
輸入結構描述
{
"type": "object",
"properties": {
"lang": {
"type": "string",
"enum": [
"es",
"en"
],
"description": "Idioma de la respuesta / response language (default es)"
}
},
"additionalProperties": false
}🟢what_to_wear_today(city, lang)
Clothing layers to wear today in a city, from today's weather forecast (Open-Meteo). Generic advice; the app personalizes it with the user's own closet.
輸入結構描述
{
"type": "object",
"properties": {
"city": {
"type": "string",
"description": "City, e.g. Lima, Cusco, Mexico City"
},
"lang": {
"type": "string",
"enum": [
"es",
"en"
],
"description": "Idioma de la respuesta / response language (default es)"
}
},
"required": [
"city"
],
"additionalProperties": false
}🟢travel_packing_list(destination, days, lang)
Capsule packing list for a trip (destination + number of days) based on the destination's forecast. Generic; the app builds it from the user's own closet with one outfit per day and plan.
輸入結構描述
{
"type": "object",
"properties": {
"destination": {
"type": "string",
"description": "Destination city, e.g. Cusco, Cancún, Madrid"
},
"days": {
"type": "integer",
"minimum": 1,
"maximum": 30,
"description": "Trip length in days"
},
"lang": {
"type": "string",
"enum": [
"es",
"en"
],
"description": "Idioma de la respuesta / response language (default es)"
}
},
"required": [
"destination",
"days"
],
"additionalProperties": false
}社群
證據
近期觀測
已驗證未記錄版本3 個工具