# Microsoft Azure AI Integration for DAM & PIM | Kontainer Connect Microsoft Azure AI and Foundry with Kontainer DAM & PIM, and build AI agents and RAG solutions on your own product data, assets and metadata. Source: https://kontainer.com/integrations/microsoft-azure-ai # Microsoft Azure AI integration with Kontainer DAM & PIM ![Microsoft Azure AI logo](https://kontainer.com/content/2026/11/6a65eb901b57544a2682ea3d_Microsoft-Azure-Logo-scaled-320x180.webp?v=1794386441) Type Add On Plan Premium+ Set-up Moderate Connect Microsoft Azure AI with Kontainer and give your models and agents in Microsoft Foundry access to approved digital assets, product data and metadata. Build AI solutions on Azure with Kontainer as your Single Source of Truth for content and product information. [KONTAINER API](https://helpdesk.kontainer.com/article/kontainer-api-integration/)[MCP DOCUMENTATION](https://helpdesk.kontainer.com/article/mcp-model-context-protocol-for-kontainer-dam-pim/) --- #### **Description** ### Build AI on Azure with your own product data and assets Microsoft Azure AI brings models, agents and tools together in an enterprise platform for building AI solutions. At its core is Microsoft Foundry, where organizations can choose from more than 11,000 models, build AI agents and manage security and governance in one place. A model does not know on its own which products you sell, which descriptions are approved, or which images and documents may be used where. That knowledge already lives in Kontainer. When Azure AI is connected to Kontainer DAM & PIM, your apps and agents can retrieve product data, metadata and files through the Kontainer API or MCP – without copying the content into yet another system. The result is AI solutions built on approved content and up-to-date product data, running in the Azure environment your organization already uses. --- #### **Benefits** ### Why integrate Azure AI with Kontainer? ✔ **Choose the model that fits the task** Microsoft Foundry gives access to models from Microsoft, OpenAI, Mistral and Meta, among others, so you can match model to use case instead of locking into a single vendor. ✔ **Kontainer as your Single Source of Truth** Let agents and apps work with the same product data and approved files as the rest of the organization, instead of a copy that quickly goes out of date. ✔ **Agents that can look things up in Kontainer** Foundry Agent Service can connect to an MCP server as a tool, so an agent can retrieve information from Kontainer when a task requires it. ✔ **Control and governance** Foundry Control Plane and Content Safety provide oversight and guardrails around your AI solutions, so they can scale responsibly. ✔ **Build in your own Azure environment** Develop and run the AI solution in the Azure environment your IT team already knows and manages. ✔ **Less manual work** Avoid exporting, copying and uploading product information and files between systems every time an AI solution needs them. --- #### **Features** ### How Azure AI and Kontainer work together **✔ Connection via the Kontainer API** The Kontainer REST API makes it possible to retrieve and update product data, metadata and file information from solutions built on Azure, for example in Azure Functions or an app. **✔ MCP for Foundry agents** With the Model Context Protocol, an agent in Microsoft Foundry can use Kontainer as a tool and access DAM and PIM data without custom development for every individual agent. **✔ Product data from PIM** Use product names, descriptions, specifications, categories and variants as the basis for AI-generated content, search and answers. **✔ Digital assets and files from DAM** Give AI solutions access to images, videos and documents, along with the tags and metadata that make them easy to find and use correctly. **✔ RAG with Foundry IQ and Azure AI Search** Product texts and metadata from Kontainer can feed a knowledge base that models draw on when they answer. This gives more precise answers grounded in your own content. **✔ OpenAI models via Azure** Use Azure OpenAI in Foundry Models if you want to work with OpenAI models in your Azure setup. --- #### **Architecture** ### Kontainer as the knowledge layer in your Azure architecture An AI solution on Azure typically consists of three layers, and Kontainer has a natural place in the first: - **Data and content** Kontainer DAM & PIM holds the approved files, product data and metadata that the rest of the solution builds on. - **Knowledge and search** Relevant content is retrieved via the API, MCP or a knowledge base in Foundry IQ and Azure AI Search, so the model gets the right context. - **Models and agents** In Microsoft Foundry you choose the model, build agents and manage security, observability and access. This separation lets you swap models, add new agents or introduce new use cases without moving your content. Kontainer remains the place where product data and files are maintained and approved. --- #### **Use Cases** ### What can you build with Azure AI + Kontainer? - **Internal product advisor** An assistant that answers questions about your range based on PIM data, and can point to the approved images and documents in DAM. - **Bulk enrichment of product data** Automated jobs that categorize, summarize and suggest missing product texts across large product catalogs. - **Tag and alt text suggestions** Models that can understand images can suggest descriptive metadata and alt texts for digital assets, which an employee then approves. - **Multilingual content at scale** Generate and adapt product texts for multiple markets, starting from localized data. - **Product assistant for webshops and portals** A customer-facing assistant that answers product questions based on up-to-date, approved data. - **Agents across systems** Foundry agents that combine data from Kontainer with ERP, CRM and other business systems in the same workflow. --- #### **Support** ### Get started with Azure AI + Kontainer The right setup depends on which data and workflows your AI solution needs. Contact our support team for help with setup, customization or best-practice advice. You can write to us at [support@kontainer.com](mailto:support@kontainer.com) Read more about the [Kontainer API](https://helpdesk.kontainer.com/article/kontainer-api-integration/) and [MCP for Kontainer DAM and PIM](https://helpdesk.kontainer.com/article/mcp-model-context-protocol-for-kontainer-dam-pim/). See Microsoft’s documentation on [connecting Foundry agents to MCP servers](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/model-context-protocol). For EU AI Act requirements, see [Labelling AI-generated content in Kontainer](https://helpdesk.kontainer.com/article/labelling-ai-generated-content-in-kontainer/) and the [EU AI Act (Regulation (EU) 2024/1689)](https://eur-lex.europa.eu/eli/reg/2024/1689/oj). ## FAQ ### What is Microsoft Azure AI? Microsoft Azure AI is Microsoft’s collection of cloud services for building, running and governing AI solutions. It includes Microsoft Foundry with models and agents, Azure AI Search for knowledge retrieval, and tools for security and governance. ### What is Microsoft Foundry? Microsoft Foundry is Azure’s platform for AI apps and agents. Organizations can choose from more than 11,000 models, build agents with Foundry Agent Service, and monitor and manage their solutions in one place. ### Can Azure AI be integrated with Kontainer? Yes. Kontainer can be connected to solutions built on Azure AI through the Kontainer API and MCP, so models and agents can retrieve product data, metadata and file information from Kontainer DAM & PIM. ### Can Foundry agents connect to Kontainer via MCP? Yes. Foundry Agent Service supports connecting to external MCP servers as tools. With Kontainer’s MCP connection, an agent can look up relevant data in Kontainer while it works on a task. ### Can Azure AI use product data from Kontainer PIM? Yes. Product names, descriptions, specifications, categories and variants can be used as context, for example for product advisors, generating product texts, translations and customer service. ### Can Azure AI find and use files from Kontainer DAM? Yes. Via the API or MCP, an AI solution can search for images, videos and documents using metadata, tags and file information, and point to the approved files in Kontainer. ### What is the difference between Azure AI, Azure OpenAI and Copilot Studio? Azure AI is the overall platform. Azure OpenAI provides access to OpenAI models through Foundry Models in Azure. Microsoft Copilot Studio is a tool for building agents with little or no code. Kontainer can be used with all three, depending on how your solution is built. ### Does our data need to be trained into an AI model? Not necessarily. An integration can retrieve the relevant information from Kontainer when the AI solution needs it, for example via the API, MCP or a knowledge base for RAG. That lets you work with current data without making it part of the model’s training. ### How do we get started? Start by clarifying which data and workflows the AI solution needs. Then contact Kontainer’s support team at support@kontainer.com for help with setup, customization and best practices. [Integrations](https://kontainer.com/integrations) [Cases](https://kontainer.com/clients) [Contact](https://kontainer.com/contact) [News](https://kontainer.com/news)