Asian Recs
SF and NYC restaurants, cafes, desserts and bars ranked by how Asian diners rate them.
사용해야 할까요
품질 및 안전성
발견 사항 (1)
- LOWTool 'list_filters' description lacks action verblist_filters에서
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": {
"asianrecs": {
"url": "https://asianrecs.com/api/mcp"
}
}
}원격 엔드포인트
https://asianrecs.com/api/mcpstreamable-http할 수 있는 일
도구 목록
도구 (3)
🟢search_places(city, type, cuisine, location, query, ...)
Find places in San Francisco or New York ranked by how Asian diners rate them. Each result has the Asian diners' rating, everyone else's rating, the gap between them, how many Asian diners reviewed it, top dishes, neighborhood and a link to its page.
입력 스키마
{
"type": "object",
"properties": {
"city": {
"type": "string",
"enum": [
"sf",
"nyc"
],
"description": "sf = San Francisco, nyc = New York"
},
"type": {
"description": "Kind of place. Default restaurants.",
"type": "string",
"enum": [
"restaurants",
"desserts",
"cafes",
"bars"
]
},
"cuisine": {
"description": "Cuisine or drink category, e.g. \"ramen\", \"sichuan\", \"korean\", \"boba\", \"dim sum\".",
"type": "string"
},
"location": {
"description": "Neighborhood or area, e.g. \"Mission\", \"East Village\", \"Flushing\", \"Manhattan — Downtown\".",
"type": "string"
},
"query": {
"description": "Free text matched against name, cuisine, neighborhood and dishes, e.g. a dish like \"soup dumplings\".",
"type": "string"
},
"near": {
"description": "A point to measure distance from; adds distance_mi to results.",
"type": "object",
"properties": {
"lat": {
"type": "number"
},
"lng": {
"type": "number"
}
},
"required": [
"lat",
"lng"
]
},
"radius_mi": {
"description": "With near: only places within this many miles.",
"type": "number",
"exclusiveMinimum": 0
},
"sort": {
"description": "asian_rating: Asian diners' rating, highest first; loved_more: Biggest gap above everyone else; most_asian_diners: Most Asian diners; share_asian: Highest share of Asian reviewers; distance: Closest first (needs near). Default asian_rating.",
"type": "string",
"enum": [
"asian_rating",
"loved_more",
"most_asian_diners",
"share_asian",
"distance"
]
},
"limit": {
"description": "Default 10.",
"type": "integer",
"minimum": 1,
"maximum": 30
}
},
"required": [
"city"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_place(city, name, type)
Full Asian Recs page for one place: both ratings and the gap, share of reviewers who are Asian, dishes Asian diners mention most, quotes from Asian diners, Google and Yelp ratings, and links (Asian Recs, Google Maps, Yelp, Instagram).
입력 스키마
{
"type": "object",
"properties": {
"city": {
"type": "string",
"enum": [
"sf",
"nyc"
],
"description": "sf = San Francisco, nyc = New York"
},
"name": {
"type": "string",
"description": "Place name; partial names work."
},
"type": {
"description": "Narrow to one kind of place when a name is ambiguous.",
"type": "string",
"enum": [
"restaurants",
"desserts",
"cafes",
"bars"
]
}
},
"required": [
"city",
"name"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢list_filters(city, type)
Areas, neighborhoods and cuisines available for a city and kind of place, with how many ranked places each has.
입력 스키마
{
"type": "object",
"properties": {
"city": {
"type": "string",
"enum": [
"sf",
"nyc"
],
"description": "sf = San Francisco, nyc = New York"
},
"type": {
"description": "Kind of place. Default restaurants.",
"type": "string",
"enum": [
"restaurants",
"desserts",
"cafes",
"bars"
]
}
},
"required": [
"city"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}커뮤니티
증거