Common Ground

Pick one movie, show, book, artist or restaurant a whole group will enjoy, using Qloo taste data.

¿Debería usar esto?

Calidad y seguridad

A
Calidad de la descripción
100%
Integridad del esquema
88%
Calidad de los nombres
90%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

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

Costo de contexto

~701Tokens (definiciones de herramientas)
~2.4 KBTamaño de respuesta típico
Impacto moderado en la atención (0.55% 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": {
    "common-ground": {
      "url": "https://common-ground.lipmichal.workers.dev/mcp"
    }
  }
}

Puntos de conexión remotos

https://common-ground.lipmichal.workers.dev/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (2)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢find_common_ground(kind, tasteFrom, location, members)

Pick ONE movie, TV show, book, music artist, podcast, restaurant (kind=place, with location) or destination that a whole group will enjoy. Give each person's name and 2 to 5 things they love. Favourites can come from another category with tasteFrom, for example music artists to pick a restaurant, or any for a mix of artists, movies, TV shows and books. Uses Qloo's taste graph to score every candidate for every person and returns the option that makes the least happy person as happy as possible, with a reason per person.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "kind": {
      "type": "string",
      "enum": [
        "movie",
        "tv_show",
        "book",
        "artist",
        "podcast",
        "place",
        "destination",
        "video_game"
      ]
    },
    "tasteFrom": {
      "description": "Category of the favourites, when it differs from kind. Example artist, to pick a movie from music. Use any when favourites mix music artists, movies, TV shows and books.",
      "type": "string",
      "enum": [
        "movie",
        "tv_show",
        "book",
        "artist",
        "podcast",
        "place",
        "destination",
        "video_game",
        "any"
      ]
    },
    "location": {
      "type": "string",
      "minLength": 1,
      "maxLength": 80
    },
    "members": {
      "minItems": 2,
      "maxItems": 8,
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string",
            "minLength": 1,
            "maxLength": 40
          },
          "likes": {
            "minItems": 2,
            "maxItems": 5,
            "type": "array",
            "items": {
              "type": "string",
              "minLength": 1,
              "maxLength": 80
            }
          }
        },
        "required": [
          "name",
          "likes"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "kind",
    "members"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢plan_night_out(city, members)

Plan dinner, drinks and a live music venue in one city for 2 to 6 friends. Give the city and each friend's name with 1 to 4 music artists, movies, TV shows or books they love. Qloo's cross-domain taste graph turns that shared taste into real venues. Each stop is the venue whose least happy friend is happiest, and Qloo explainability names the favourites behind it, with the share of each friend's taste.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "city": {
      "type": "string",
      "minLength": 1,
      "maxLength": 80,
      "description": "City for the night out, for example Lisbon or New York."
    },
    "members": {
      "minItems": 2,
      "maxItems": 6,
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string",
            "minLength": 1,
            "maxLength": 40
          },
          "likes": {
            "minItems": 1,
            "maxItems": 4,
            "type": "array",
            "items": {
              "type": "string",
              "minLength": 1,
              "maxLength": 80
            },
            "description": "1 to 4 music artists, movies, TV shows or books this friend loves. Mix them freely."
          }
        },
        "required": [
          "name",
          "likes"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "city",
    "members"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Comunidad

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Evidencia

Observaciones recientes

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