MCP MeasureMCP Measure

índice observado

What's That Model?

Sourced AI video/image capabilities, explained task recommendations and verified access context.

¿Debería usar esto?

Calidad y seguridad

A
Calidad de la descripción
90%
Integridad del esquema
71%
Calidad de los nombres
93%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (2)

  • LOWTool 'compare_models' description lacks action verben compare_models
  • LOWTool 'where_to_use' description lacks action verben where_to_use

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

Costo de contexto

~927Tokens (definiciones de herramientas)
~769 BTamaño de respuesta típico
Impacto moderado en la atención (0.72% 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": {
    "whats-that-model": {
      "url": "https://whatsthatmodel.com/mcp"
    }
  }
}

Puntos de conexión remotos

https://whatsthatmodel.com/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (8)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢find_model(task, constraints)

Find an AI model by creation task and verified constraints. Editorial recommendation; not a benchmark score.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "task": {
      "type": "string",
      "enum": [
        "ai-influencer",
        "ai-video-generator",
        "character-consistency",
        "cinematic-video",
        "image-to-video",
        "product-shots",
        "product-videos",
        "realistic-humans",
        "social-shorts",
        "talking-characters",
        "text-in-images",
        "ugc-ads"
      ]
    },
    "constraints": {
      "type": "object",
      "properties": {
        "output": {
          "type": "string",
          "enum": [
            "video",
            "image",
            "any"
          ]
        },
        "input": {
          "type": "string",
          "enum": [
            "text",
            "image",
            "video",
            "youtube"
          ]
        },
        "audio": {
          "type": "boolean"
        },
        "duration": {
          "type": "number",
          "minimum": 1
        },
        "budget": {
          "type": "string",
          "enum": [
            "draft",
            "flexible"
          ]
        },
        "style": {
          "type": "string",
          "enum": [
            "realistic",
            "cinematic",
            "stylized"
          ]
        },
        "platform": {
          "type": "string",
          "enum": [
            "portrait",
            "landscape",
            "any"
          ]
        }
      },
      "additionalProperties": false
    }
  },
  "additionalProperties": false
}
🟢compare_models(models, task)

Compare documented capabilities and task fit. Unknowns stay explicit.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "models": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "minItems": 2,
      "maxItems": 4
    },
    "task": {
      "type": "string"
    }
  },
  "required": [
    "models"
  ],
  "additionalProperties": false
}
🟢get_model(model)

Get model capabilities, dated citations, editorial limitations and labeled optional access link.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "model": {
      "type": "string"
    }
  },
  "required": [
    "model"
  ],
  "additionalProperties": false
}
🟢best_model_for(use_case, constraints)

Get an editorial shortlist for a known use case with verified constraints.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "use_case": {
      "type": "string",
      "enum": [
        "ai-influencer",
        "ai-video-generator",
        "character-consistency",
        "cinematic-video",
        "image-to-video",
        "product-shots",
        "product-videos",
        "realistic-humans",
        "social-shorts",
        "talking-characters",
        "text-in-images",
        "ugc-ads"
      ]
    },
    "constraints": {
      "type": "object"
    }
  },
  "required": [
    "use_case"
  ],
  "additionalProperties": false
}
🟢list_models(filters)

List curated AI models including independent non-affiliate alternatives.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "filters": {
      "type": "object",
      "properties": {
        "kind": {
          "type": "string",
          "enum": [
            "video",
            "image",
            "tool"
          ]
        },
        "audio": {
          "type": "boolean"
        },
        "higgsfield": {
          "type": "boolean"
        },
        "image_to_video": {
          "type": "boolean"
        },
        "min_duration": {
          "type": "number"
        }
      },
      "additionalProperties": false
    }
  },
  "additionalProperties": false
}
🟢where_to_use(model)

Return official and optional commercial access destinations, without guaranteeing plan entitlements.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "model": {
      "type": "string"
    }
  },
  "required": [
    "model"
  ],
  "additionalProperties": false
}
🟢get_trending_workflows

Get curated workflow spotlights; no unmeasured growth or income claims.

Esquema de entrada

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_prompt_tips(model, task)

Get untested prompting guidance, clearly distinguished from measured outputs.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "model": {
      "type": "string"
    },
    "task": {
      "type": "string"
    }
  },
  "required": [
    "model"
  ],
  "additionalProperties": false
}

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada8 herramientas