2026.3
With Thinkwise Platform 2026.3, the Model Context Protocol (MCP) changes how you interact with your Thinkwise applications and their data.
MCP support was introduced as beta release in Thinkwise Platform 2026.2.12 and is generally available with this LTS release.
You can connect any MCP client, such as your preferred AI tool, to your business applications and the Software Factory
using the /mcp endpoint in Indicium.
Instead of navigating to the right screen and searching for data manually, you can ask your AI tool to find and analyze the data for you.
Adding data becomes easier too, because your AI tool can turn unstructured input, such as an email, document content, or a voice message,
into structured data in your database without any manual typing.
Because the MCP server is built into Indicium, you do not need any extra components, and you set up MCP and manage its access in the Intelligent Application Manager (IAM). To give AI tools and AI agents secure and granular access, follow our best practices for role-based access control, access delegation, and logging. MCP is freely available in development and test environments, so you can speed up development in the Software Factory and test MCP with end users. Using MCP in production requires an amended license agreement with Thinkwise, so contact your account manager for more information. To learn more, read our Community blogs Thinkwise Platform as MCP Server, Getting started with MCP, and MCP on the Software Factory.
You can also use MCP in the Software Factory, and together with our published skills, it significantly changes the way developers work. Your AI agent can take on tasks such as creating a data model, creating screen types, and setting up a Scheduler, so you can spend more time understanding, describing, and refining business needs. You can also hand over repetitive work while you review and decide, such as finally adding those missing unit tests for existing functionality. Unlike vibe coding, where AI leaves you with a mountain of generated code to maintain, your AI agent works with the model. This model-driven development and Technology-as-a-Service approach lets you deliver business value with as little code as possible.
The MQTT broker capabilities from Thinkwise Platform 2026.2 let you publish messages, and with this release, you can also subscribe to MQTT topics. A subscription listens to a topic on your message broker and starts a process flow every time a message arrives, whether it comes from a machine, a sensor, or another Thinkwise application. Your applications can now receive sensor data and machine status updates directly, enabling real-time interaction between the shop floor and your business applications.
With IAM on DB2 for IBM i, we take a major step toward running the entire Thinkwise Platform on IBM Power. We have already proven that it works, and we are now completing a dedicated Indicium distributable for IBM Power. You can then deploy Indicium and the Universal UI on a Red Hat Linux partition, on the same IBM Power machine that runs your DB2 databases.
The inline action bar is our answer to a long-standing and popular community idea: showing tasks on grid rows. We took this idea further, so you can now configure any action inline. Note that this is still a beta feature. We plan to improve the user experience and add support for card lists.
Besides MCP, developers also get a major upgrade to Model insight and the Thinkwise Workspace Listener for Linux and macOS. Thinkwise Deployment Center 4.0.0 is now also available for Linux, and you can use it to deploy IAM on DB2.
This release includes 19 community ideas, representing 367 votes.
Questions or suggestions about the release notes? Let us know in the Thinkwise Community!.