Asian Recs

SF and NYC restaurants, cafes, desserts and bars ranked by how Asian diners rate them.

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Calidad y seguridad

A
Calidad de la descripción
83%
Integridad del esquema
100%
Calidad de los nombres
100%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (1)

  • LOWTool 'list_filters' description lacks action verben list_filters

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~838Tokens (definiciones de herramientas)
~2.2 KBTamaño de respuesta típico
Impacto moderado en la atención (0.65% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "asianrecs": {
      "url": "https://asianrecs.com/api/mcp"
    }
  }
}

Puntos de conexión remotos

https://asianrecs.com/api/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (3)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢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.

Esquema de entrada

{
  "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).

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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"
}

Comunidad

Califica este servidor

Evidencia

Observaciones recientes

verificadoversión no registrada3 herramientas