MCP MeasureMCP Measure

Index beobachtet

What's That Model?

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
90%
Vollständigkeit des Schemas
71%
Qualität der Benennung
93%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (2)

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

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~927Tokens (Tool-Definitionen)
~769 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.72% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "whats-that-model": {
      "url": "https://whatsthatmodel.com/mcp"
    }
  }
}

Remote-Endpunkte

https://whatsthatmodel.com/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (8)

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🟢find_model(task, constraints)

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

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

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

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

Eingabe-Schema

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

Get untested prompting guidance, clearly distinguished from measured outputs.

Eingabe-Schema

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

Community

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Aktuelle Beobachtungen

verifiziertVersion nicht aufgezeichnet8 Tools