POS.DO MCP Server
Discover 356K+ restaurants in 20 countries: search, reviews, cultural context, time-based offers.
사용해야 할까요
품질 및 안전성
발견 사항 (1)
- LOWget_cultural_context_around_restaurant에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"mcp-server": {
"url": "https://pos.do/mcp"
}
}
}원격 엔드포인트
https://pos.do/mcpstreamable-http할 수 있는 일
도구 목록
도구 (7)
🟢search_restaurants(city, query, cuisine, price_max, features, ...)
Search restaurants in a specific city. Filter by cuisine type, price range, and features like outdoor seating, WiFi, delivery. Returns up to 20 results with name, rating, cuisine, price range, address, coordinates, photo, amenities, and current Flow offers.
입력 스키마
{
"type": "object",
"properties": {
"city": {
"type": "string",
"description": "City name. Examples: 'Madrid', 'New York', 'Milano', 'Barcelona'."
},
"query": {
"type": "string",
"description": "Free-text search: cuisine, occasion, features (e.g. 'romantic italian terrace')."
},
"cuisine": {
"type": "string",
"description": "Cuisine filter. Examples: 'italian', 'mexican', 'sushi', 'spanish', 'indian'."
},
"price_max": {
"type": "integer",
"minimum": 1,
"maximum": 4,
"description": "Max price level 1=budget, 4=fine dining."
},
"features": {
"type": "string",
"description": "Comma-separated feature filters: terrace, wifi, parking, delivery, accessible."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 20,
"default": 10
}
},
"required": [
"city"
]
}🟢get_restaurant_details(slug)
Get the full profile of a restaurant by URL slug. Returns name, address, coordinates, rating, reviews count, phone, opening hours, photos, services, cuisine type, price level, current Flow offers, and cultural context.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Restaurant URL slug. Example: 'anima-e-cuore-osteria-bilbao'."
}
},
"required": [
"slug"
]
}🟢get_restaurant_reviews(slug, rating, sort, limit, offset)
Get paginated reviews for a restaurant. Filter by star rating, sort by date or rating. Returns review text, author, rating, date, photos, language, owner response, and rating distribution.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Restaurant URL slug."
},
"rating": {
"type": "integer",
"minimum": 1,
"maximum": 5,
"description": "Filter by exact star rating."
},
"sort": {
"type": "string",
"enum": [
"recent",
"rating_high",
"rating_low"
],
"default": "recent"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 30,
"default": 10
},
"offset": {
"type": "integer",
"minimum": 0,
"default": 0
}
},
"required": [
"slug"
]
}🟢get_flow_offers(slug, date)
POS.DO Flow time-based offers for a restaurant. Off-peak hours have bigger discounts. Returns time slots with discount percentages and remaining covers. Tagline: 'Tu hora, tu precio'.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Restaurant URL slug."
},
"date": {
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$",
"description": "Date YYYY-MM-DD (default: today)."
}
},
"required": [
"slug"
]
}🟡book_flow_reservation(slug, yield_offer_id, guest_name, guest_email, guest_phone, ...)
Make a reservation at a Flow-discounted time slot. Phone must be E.164 (e.g. +34911234567). To make retries safe, send the same Idempotency-Key HTTP header on retries (any UUID); replays within 24h return the original reservation. Rate limited to 5 reservations per email per day and 10 attempts per IP per minute.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Restaurant URL slug."
},
"yield_offer_id": {
"type": "integer",
"description": "Offer ID returned by get_flow_offers."
},
"guest_name": {
"type": "string"
},
"guest_email": {
"type": "string",
"format": "email"
},
"guest_phone": {
"type": "string",
"pattern": "^\\+[1-9]\\d{7,14}$",
"description": "E.164 format, e.g. +34911234567."
},
"party_size": {
"type": "integer",
"minimum": 1,
"maximum": 20,
"default": 2
},
"notes": {
"type": "string"
}
},
"required": [
"slug",
"yield_offer_id",
"guest_name",
"guest_email",
"guest_phone"
]
}🟢find_restaurants_near_landmark(landmark, city, radius, limit)
Find restaurants near a famous landmark (monument, museum, park). Returns landmark info from Wikidata + nearby restaurants sorted by walking distance. Examples: 'Sagrada Familia', 'Colosseum', 'Central Park', 'Tour Eiffel'.
입력 스키마
{
"type": "object",
"properties": {
"landmark": {
"type": "string",
"description": "Landmark name."
},
"city": {
"type": "string",
"description": "City hint for landmark disambiguation."
},
"radius": {
"type": "integer",
"minimum": 200,
"maximum": 5000,
"default": 1000,
"description": "Search radius in meters."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 15,
"default": 10
}
},
"required": [
"landmark"
]
}🟢get_cultural_context_around_restaurant(slug)
Get cultural context around a restaurant: nearby monuments, museums, parks, historical sites with distance and heritage status. Powered by Wikidata.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Restaurant URL slug."
}
},
"required": [
"slug"
]
}커뮤니티
증거