This latest Mendix release brings you deeper insights, smoother workflows, and more control—from streamlined work in Studio Pro to smarter governance and secure offboarding. Build faster with new widget features, navigate more easily with the Call Hierarchy, and take your app intelligence to the next level with enhanced Agentic AI capabilities. Whether you’re scaling your portfolio or refining a single app, this release gives you everything you need to deliver more with less effort.
Prerequisites:
- Extension scaffolding
- External Database Connector – Set connection details in activity
- Consumed REST service: Query parameters
- App insights feedback
- Create apps with LTS/MTS versions of Studio Pro directly in the portal
Advanced language import / export
We’ve brought advanced language import/export functionality directly into the Studio Pro UI, making it easier than ever to manage multilingual applications without switching to command line tools. This feature allows developers to import and export all languages in one operation using both Excel files and industry-standard PO files, while preserving the full context of where each text is used throughout your application. Each duplicate entry gets its own dedicated entry in the export, giving translators and developers complete control over language customization across different contexts and modules.
Extension scaffolding
Developers can now quickly scaffold new extensions using the simple command npm create @mendix/extension, streamlining the initial setup process and getting them coding faster. This new scaffolding tool automatically generates the proper project structure, configuration files, and boilerplate code needed to start building extensions for Studio Pro, as well as enabling your extension for debugging.
We’re constantly improving the OQL editor for View Entities to simplify writing queries. One example is the auto-complete functionality which does a better job suggesting the relevant entities, attributes and keywords for the query you are editing. Another improvement is the connection pane: when editing an OQL query the connection pane will show all the entities and attributes available in your project. You can search for specific entities or attributes in the integration pane.
You can now override the connection details for the External database connector using microflow parameters when you execute a query. This allows you to run the same query on different databases, assuming they have the same tables, or you can update security credentials if you’re using temporary tokens.
With the interactive REST client, we have improved working with query parameters for API calls. Query parameters can be set as either optional or mandatory. Query parameters can also be easily included or excluded during request modelling and microflow activity independently. This functionality is a more intuitive way of dealing with query parameters as developers don’t need to manually modify their URL strings to have query parameters.
Mendix applications often include a wide array of microflows, nanoflows, and pages making navigation a challenge as your app grows. While the App Explorer and advanced search tools offer solid support, sometimes you need a faster, clearer way to understand how everything connects. That’s where the Call Hierarchy comes in.
We’ve made it easier to stay informed. Feedback linked to a story is now clearly visible within the story details in Epics. Quickly see all related feedback without switching tabs, so you never miss important context while you work.
You can now select between LTS (Long-Term Support) and MTS (Medium-Term Support) versions when creating a new app in the Mendix Portal. This update supports teams that follow strict version policies or prefer to avoid using the most recent releases for production work. It’s part of our ongoing effort to make app creation faster, more consistent, and better aligned with enterprise needs.
Platform user deactivation API
Offboarding platform users just got easier. With our new Platform User Deactivation API, you can now automatically block access to the Mendix platform for users who have left your organization or changed roles.
Even though usage of SSO (BYO-IdP) already prevents login, deactivation adds clarity across the platform—clearly distinguishing active from inactive users. It also enhances security: deactivated users cannot use Personal Access Tokens (PATs) to access platform APIs.
This API helps you comply with company access governance policies and replaces the previously deprecated endpoint, which will be retired in November 2025.
Azure AI Search is now a platform-supported knowledge base option for our OpenAI connector. This enterprise-ready addition maintains full compatibility with our common GenAI toolset, offering the same powerful features you know from our Amazon Bedrock and Mendix Cloud GenAI connectors. Choose the knowledge base that best suits your needs, link it to your GenAI Agent or integrate it into your custom microflow logic using the well-known drag-and-drop experience of our GenAI commons toolbox.
Unlock universal knowledge in the latest Agent Builder Starter App release
A new version of the Agent Builder Starter app has been published to support vendor-agnostic knowledge base integration – a feature provided through the latest GenAICommons updates and reflected in the agent builder of AgentCommons v1.3.0. With this upgrade, it also becomes possible to add Azure AI Search or PgVector knowledge bases. Learn by example how to define a GenAI Agent that taps into knowledge bases, app data, and app logic—then build a chat assistant experience on top using GenAI Commons, Agent Commons, and Conversational UI.
Function calling simplified: Enabling multiple input parameters
Simplify your function implementations with our latest update: multiple input parameters in a single function call. No more need to first create a JSON structure and then import it to bring several parameters into a tool call. You can now use input parameters of any primitive type instead of one single string input. This new feature is available for all our connectors depending on the GenAICommons module:
Unlock custom authentication in your MCP server
As the Model Context Protocol (MCP) framework continues to evolve, we’re evolving alongside it. Our latest MCP Server module update introduces the flexibility to define your own authentication logic through custom microflows, giving you control over how your MCP Server authenticates requests.
Miscellaneous: Enhanced user experience
Experience our redesigned GenAI showcase app featuring an intuitive landing page and cleaner navigation structure. The Agent Commons received a small facelift as well and in addition, setting up MCP Servers in Mendix is now automated – the system intelligently generates the required schema JSON based on your selected microflow, eliminating the need for manual schema writing.
If you’re interested in more information, do read How to Configure Azure OpenAI Models in Mendix blog from Mendix
Posts by: Danny Roest
