Content migrations are often among the most time-consuming tasks when introducing or modernizing a content management system. Existing content has to be analyzed, mapped to new structures, categorized and reliably transferred to the target system. Traditionally, this requires custom scripts and a high level of manual effort.
The approach described in the article shifts a large part of this work to AI agents. Among other things, they can create content structures, transfer existing content field by field and assign suitable categories based on their semantic meaning. This does not turn the migration into a fully automatic process, but into a significantly faster and more scalable workflow with targeted human oversight.
Migrations are only the beginning. As soon as content is available in structured form in the new Liferay CMS, agents can take on further tasks – such as preparing content for different target groups, creating newsletters, supporting translation processes or reusing content for different channels.
The technical foundation for this is the combination of the object-based architecture of the new Liferay CMS, the headless APIs and the Model Context Protocol. This makes Liferay a platform in which AI not only generates content but can carry out concrete tasks within content processes.
In the full article, we cover the practical process, the potential business value and the limitations that still exist today.
Read the article on Liferay: “CMS MCP Server: How AI agents migrate content into Liferay”
