The FF changes from Released to GA

We created an API for allowing the user to access the OIDC accessToken from the DB by enabling the serviceLocator

An MCP (Model Context Protocol) Server acts as a bridge between your solution and AI models. For us, the new Liferay DXP MCP Server exposes our Headless APIs through a standardized interface that LLMs can understand and interact with allowing them both to retrieve information, but also interact with Liferay DXP to create or update different types of entities.

This standard enables easy, cost-effective integrations of Liferay DXP with various AI models (like ChatGPT or Gemini). Leveraging the headless APIs ensures LLMs can reliably access data using structured protocols while strictly enforcing the user's Liferay permission system for security.

Key Benefits:

• Reduces costs of implementation and maintenance for integrating Liferay with compatible LLM models.
• Security: Enforces the user's permission system via Headless APIs, ensuring data security.

Liferay seeks to better understand how administrators engage with the Control Panel and Product Menu in self-hosted environments. Since these deployments are customer-managed, Liferay currently lacks visibility into real-world admin behavior.

This feature introduces a privacy-first analytics solution that enables organizations to opt in to share anonymized usage data. By doing so, Liferay can gain valuable insights to enhance usability, guide product improvements, and deliver a more data-informed experience, while maintaining full transparency and compliance.

Key Benefits:

• Data-Driven Product Improvements: Gain visibility into real-world admin behavior to prioritize enhancements that deliver the most value.

• Enhanced Customer Experience: Use insights to refine usability and optimize administrator workflows.

• Trust and Compliance: Ensure analytics collection respects customer autonomy, privacy, and regulatory requirements through an opt-in model.