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guides/ai-studio/getting-started-ai-studio.md

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guides/ai-studio/index.md

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- ai-studio/ai-studio-agents/create-agents
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- box-ai/ai-tutorials/ask-questions
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guides/box-ai/ai-models/index.md

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# サポートされているAIモデル
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BoxでサポートされているAIモデルには、コアモデルと顧客希望で有効化できるモデルの2種類があります。Box AIサービスのデフォルトはBox AIのコアモデルで、すべてのお客様が利用できます。
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Box supports a variety of AI models, categorized along two dimensions: access level and capability tier.
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顧客希望で有効化できるモデルは、Box管理者が管理コンソールで有効にするか、利用可能になるようにリクエストします。これらのモデルは追加の条件の対象になる場合があります。
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## Access Levels
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### Core Models
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These models are built into Box AI and available by default for all customers. No configuration is required.
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### Customer-Enabled Models
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These models require activation by Box admins in the Admin Console or a request to Box to enable them. Some models may be subject to additional terms or pricing.
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## Capability Tiers
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### Standard Models
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Designed for high-speed, cost-efficient tasks like basic summarization, Q&A, and structured data extraction from shorter or simpler documents. Ideal for high-volume, low-complexity use cases.
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### Premium Models
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Offer more advanced reasoning, larger context windows, and better performance on long-form, complex, or domain-specific content. Suitable for sophisticated tasks like multi-step reasoning, understanding large taxonomies, and analyzing lengthy or unstructured documents.
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<Message type="notice">
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A model can be both customer-enabled and premium, or core and standard. In other words, access level and capability tiers are independent categorizations (for example, models can be either capability tier regardless of access level). The two categorizations are complementary.
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</Message>
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## モデルの使用
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guides/box-mcp/index.md

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rank: 2
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related_endpoints: []
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category_id: box-mcp
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---
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# Box MCP Server
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Model Context Protocol ([MCP](https://modelcontextprotocol.io/introduction)) is an open protocol that standardizes how applications provide context to LLMs. MCP servers make building advanced integrations simpler and less time consuming.
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Box MCP Server allows third party AI agents from platforms like Copilot Studio, Cursor, Claude for Desktop to access Box content seamlessly. It extends the agent’s capabilities by allowing it to perform actions related to content stored in Box.
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There are two types of Box MCP Servers:
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* remote Box MCP Server which you can create or enable in the Box Admin Console. It is hosted directly in Box.
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<!--alex ignore-->
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* self-hosted Box MCP Server which you can clone and host on your local machine, as this version in an open source Box Developer community project.
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<!--alex enable-->
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Check the detailed guides on both types of Box MCP Servers, as the level of the implemented tools differs. Learn how to enable Box MCP Server:
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<TileGrid rows="2">
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<Tile type="mcp" title="Remote Box MCP Server" href="/guides/box-mcp/remote">
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Enable the remote Box MCP Server in the Admin Console. It is hosted directly in Box.
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<strong style="background-color: #e1ffe7">
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ベータ
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</Tile>
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<Tile type="mcp" title="Self-hosted Box MCP Server" href="/guides/box-mcp/self-hosted">
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An open source Box Developer community project. You can clone this Box MCP Sever and host it on your local machine.
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オープンソース
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Watch an interview with Box CTO, Ben Kus, and learn how MCP empowers AI agents to work dynamically across platforms, reducing the development effort.
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<iframe width="100%" height="500" src="https://www.youtube.com/embed/u_y5_y9JGg4?si=PY2__LklwsGWwiAD" title="MCP: The API standard that makes AI actionable for enterprises | Box AI Explainer Series EP4 with Ben Kus, Box CTO" frameborder="0" allow="accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen>
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</iframe>

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