AIUseCaseHub

Source-linked enterprise AI deployment search. Free preview; API keys unlock full results.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
95%
Vollständigkeit des Schemas
100%
Qualität der Benennung
90%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

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

Kontextkosten

~754Tokens (Tool-Definitionen)
~1.9 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.59% 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": {
    "aiusecasehub": {
      "url": "https://basic-backend713-dsd8hygyfkc8d8f5.swedencentral-01.azurewebsites.net/api/mcp"
    }
  }
}

Remote-Endpunkte

https://basic-backend713-dsd8hygyfkc8d8f5.swedencentral-01.azurewebsites.net/api/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (4)

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🟢search_usecases(search_term, query, limit)

Search curated AI use cases using the default hybrid ranking. Use this when an agent has a natural-language search term.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "search_term": {
      "type": "string",
      "description": "Natural-language search term."
    },
    "query": {
      "type": "string",
      "description": "Alias for search_term."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "default": 10,
      "description": "Maximum results requested. Public previews return at most 3; personal-key access permits up to 20."
    }
  },
  "required": [
    "search_term"
  ]
}
🟢hybrid_search_usecases(query, limit, industry, country, technologies_used, ...)

Search AI use cases with hybrid full-text and vector ranking. Supports provider, industry, geography, technology, customer, partner, and boolean case-type filters.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Natural-language query."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "default": 10,
      "description": "Maximum results requested. Public previews return at most 3; personal-key access permits up to 20."
    },
    "industry": {
      "type": "string",
      "description": "Filter by the deployment industry."
    },
    "country": {
      "type": "string",
      "description": "Filter by country code, for example US or GB."
    },
    "technologies_used": {
      "type": "string",
      "description": "Filter by technology name."
    },
    "cloud_provider": {
      "type": "string",
      "description": "Microsoft, AWS, GCP, or comma-separated values."
    },
    "customer_name": {
      "type": "string",
      "description": "Filter by the company adopting AI."
    },
    "partner_name": {
      "type": "string",
      "description": "Filter by implementation partner."
    },
    "isAgentCase": {
      "type": "boolean",
      "description": "Filter for AI agent deployments."
    },
    "isMultiAgentCase": {
      "type": "boolean",
      "description": "Filter for multi-agent deployments."
    },
    "isRag": {
      "type": "boolean",
      "description": "Filter for retrieval-augmented generation deployments."
    },
    "isVision": {
      "type": "boolean",
      "description": "Filter for computer vision deployments."
    },
    "isCopilot": {
      "type": "boolean",
      "description": "Filter for copilot deployments."
    },
    "isVoice": {
      "type": "boolean",
      "description": "Filter for voice AI deployments."
    },
    "isFineTuning": {
      "type": "boolean",
      "description": "Filter for model fine-tuning deployments."
    },
    "isMicrosoftFabric": {
      "type": "boolean",
      "description": "Filter for Microsoft Fabric deployments."
    },
    "isAvatar": {
      "type": "boolean",
      "description": "Filter for AI avatar deployments."
    },
    "isSustainabilityCase": {
      "type": "boolean",
      "description": "Filter for sustainability use cases."
    }
  },
  "required": [
    "query"
  ]
}
🟢vector_search_usecases(query, limit)

Semantic vector search for AI use cases using the meaning of the query text.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Natural-language query."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "default": 10,
      "description": "Maximum results requested. Public previews return at most 3; personal-key access permits up to 20."
    }
  },
  "required": [
    "query"
  ]
}
🟢get_usecase_details(row_key, id)

Fetch detailed information for a single AI use case by RowKey/id.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "row_key": {
      "type": "string",
      "description": "The RowKey/id returned by search tools."
    },
    "id": {
      "type": "string",
      "description": "Alias for row_key."
    }
  },
  "required": [
    "row_key"
  ]
}

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