AIUseCaseHub
Source-linked enterprise AI deployment search. Free preview; API keys unlock full results.
我该使用它吗
质量与安全性
A
基于对工具定义和协议合规性的自动分析。
上下文开销
~754token 数（工具定义）
~1.9 KB典型响应大小
对注意力有中等影响（占 128k 上下文窗口的 0.59%）
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"aiusecasehub": {
"url": "https://basic-backend713-dsd8hygyfkc8d8f5.swedencentral-01.azurewebsites.net/api/mcp"
}
}
}远程端点
https://basic-backend713-dsd8hygyfkc8d8f5.swedencentral-01.azurewebsites.net/api/mcpstreamable-http它能做什么
工具清单
工具（4）
🟢 只读🟡 写入🔴 删除⚪ 未知
🟢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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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"
]
}社区
证据
最近观测
已验证未记录版本4 个工具
已验证未记录版本4 个工具