decidewhere.to
Help a group pick where to eat or travel: critic-backed restaurants, warm trips, one vote link.
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质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"group-decisions": {
"url": "https://decidewhere.to/mcp"
}
}
}远程端点
https://decidewhere.to/mcpstreamable-http它能做什么
工具清单
工具（6）
🟢find_restaurants(city, limit)
The restaurants critics agree on in a US city (Michelin, Eater 38, The Infatuation), with vibe tags (fancy/chill, quiet/loud, quick/long, classic/new). Use the returned ids with create_restaurant_vote.
输入模式
{
"type": "object",
"properties": {
"city": {
"type": "string",
"enum": [
"chicago",
"nyc",
"sf",
"la",
"austin",
"denver",
"nashville",
"dc",
"miami"
],
"description": "City slug"
},
"limit": {
"default": 10,
"type": "integer",
"minimum": 1,
"maximum": 10
}
},
"required": [
"city"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_restaurant(city, restaurant)
Everything a group booking needs for one restaurant: how many it seats online and at its largest table, private room and buyout capacity, group menus, when reservations open, noise, kids, dress code, prices, what to order. Each answer links to its source. Pass a name or the group_profile slug from find_restaurants.
输入模式
{
"type": "object",
"properties": {
"city": {
"type": "string",
"enum": [
"chicago",
"nyc",
"sf",
"la",
"austin",
"denver",
"nashville",
"dc",
"miami"
],
"description": "City slug"
},
"restaurant": {
"type": "string",
"minLength": 1,
"maxLength": 100,
"description": "Restaurant name or profile slug"
}
},
"required": [
"city",
"restaurant"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟡create_restaurant_vote(city, restaurant_ids, party_size, date)
Turn 2-6 restaurants from find_restaurants into one link the whole group votes on, whether or not they have agents. Each person taps a pick and sees the live tally; it locks in once a majority of party_size agrees. Returns the link for your person to share in the group chat.
输入模式
{
"type": "object",
"properties": {
"city": {
"type": "string",
"enum": [
"chicago",
"nyc",
"sf",
"la",
"austin",
"denver",
"nashville",
"dc",
"miami"
]
},
"restaurant_ids": {
"minItems": 2,
"maxItems": 6,
"type": "array",
"items": {
"type": "string"
}
},
"party_size": {
"type": "integer",
"minimum": 2,
"maximum": 30
},
"date": {
"description": "YYYY-MM-DD",
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$"
}
},
"required": [
"city",
"restaurant_ids",
"party_size"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢find_warm_destinations(months, limit)
Warm-weather destinations for given months, ranked for a group flying from different US cities: average highs from published climate normals, nonstop availability from five major hubs, average flight time, passport needs.
输入模式
{
"type": "object",
"properties": {
"months": {
"minItems": 1,
"maxItems": 5,
"type": "array",
"items": {
"type": "string",
"enum": [
"jan",
"feb",
"mar",
"apr",
"may"
]
}
},
"limit": {
"default": 10,
"type": "integer",
"minimum": 1,
"maximum": 25
}
},
"required": [
"months"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟡create_group_trip(trip_type, origins, start_date, nights, destinations, ...)
Create one trip link for a group flying in from different US airports. Ranks the destinations you pass (2-6, e.g. from find_warm_destinations or your own shortlist; omit for our top 10) for everyone's airports, dates and trip type: flight time and nonstop availability from each airport, typical costs, weather. The group opens the link, sets their vibe and votes on a top 3. Can take 10-20 seconds.
输入模式
{
"type": "object",
"properties": {
"trip_type": {
"type": "string",
"enum": [
"beach_pool",
"bachelorette",
"wine_food",
"spa_wellness",
"ski_snow",
"city_break",
"adventure"
]
},
"origins": {
"minItems": 1,
"maxItems": 10,
"type": "array",
"items": {
"type": "object",
"properties": {
"airport": {
"type": "string",
"pattern": "^[A-Za-z]{3}$",
"description": "Home airport IATA code, e.g. JFK"
},
"people": {
"type": "integer",
"minimum": 1,
"maximum": 50
}
},
"required": [
"airport",
"people"
]
},
"description": "Where everyone is flying from, and how many from each"
},
"start_date": {
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$",
"description": "YYYY-MM-DD"
},
"nights": {
"default": 3,
"type": "integer",
"minimum": 1,
"maximum": 14
},
"destinations": {
"description": "Destination names to compare, e.g. ['Cabo', 'Miami', 'Charleston']",
"minItems": 2,
"maxItems": 6,
"type": "array",
"items": {
"type": "string",
"pattern": "^[\\p{L} .,'&()-]{2,60}$"
}
},
"passport": {
"default": "everyone",
"description": "Whether everyone in the group has a passport",
"type": "string",
"enum": [
"everyone",
"some_dont",
"nobody"
]
},
"max_budget_per_person": {
"description": "USD, flights and lodging",
"type": "integer",
"minimum": 100,
"maximum": 20000
}
},
"required": [
"trip_type",
"origins",
"start_date"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢plan_group_trip(trip_type)
Link to decidewhere.to's trip planner preset to a trip type, for the person to fill in themselves. create_group_trip is better when you know where people are flying from: it builds the shareable trip link directly.
输入模式
{
"type": "object",
"properties": {
"trip_type": {
"type": "string",
"enum": [
"beach_pool",
"bachelorette",
"wine_food",
"spa_wellness",
"ski_snow",
"city_break",
"adventure"
]
}
},
"required": [
"trip_type"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}社区
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