decidewhere.to
Help a group pick where to eat or travel: critic-backed restaurants, warm trips, one vote link.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"group-decisions": {
"url": "https://decidewhere.to/mcp"
}
}
}Remote-Endpunkte
https://decidewhere.to/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (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.
Eingabe-Schema
{
"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"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_restaurant(city, restaurant)
Everything a group booking needs for one restaurant: how many it seats online and at its largest table, private room and buyout capacity, group menus, when reservations open, noise, kids, dress code, prices, what to order. Each answer links to its source. Pass a name or the group_profile slug from find_restaurants.
Eingabe-Schema
{
"type": "object",
"properties": {
"city": {
"type": "string",
"enum": [
"chicago",
"nyc",
"sf",
"la",
"austin",
"denver",
"nashville",
"dc",
"miami"
],
"description": "City slug"
},
"restaurant": {
"type": "string",
"minLength": 1,
"maxLength": 100,
"description": "Restaurant name or profile slug"
}
},
"required": [
"city",
"restaurant"
],
"$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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟡create_group_trip(trip_type, origins, start_date, nights, destinations, ...)
Create one trip link for a group flying in from different US airports. Ranks the destinations you pass (2-6, e.g. from find_warm_destinations or your own shortlist; omit for our top 10) for everyone's airports, dates and trip type: flight time and nonstop availability from each airport, typical costs, weather. The group opens the link, sets their vibe and votes on a top 3. Can take 10-20 seconds.
Eingabe-Schema
{
"type": "object",
"properties": {
"trip_type": {
"type": "string",
"enum": [
"beach_pool",
"bachelorette",
"wine_food",
"spa_wellness",
"ski_snow",
"city_break",
"adventure"
]
},
"origins": {
"minItems": 1,
"maxItems": 10,
"type": "array",
"items": {
"type": "object",
"properties": {
"airport": {
"type": "string",
"pattern": "^[A-Za-z]{3}$",
"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"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢plan_group_trip(trip_type)
Link to decidewhere.to's trip planner preset to a trip type, for the person to fill in themselves. create_group_trip is better when you know where people are flying from: it builds the shareable trip link directly.
Eingabe-Schema
{
"type": "object",
"properties": {
"trip_type": {
"type": "string",
"enum": [
"beach_pool",
"bachelorette",
"wine_food",
"spa_wellness",
"ski_snow",
"city_break",
"adventure"
]
}
},
"required": [
"trip_type"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}Community
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