Introducing Real-Time Context Engine for AI

What this post added

Introduces the Real-Time Context Engine in Early Access, a new serving layer for streaming data that materializes enriched enterprise data sets into a fast, in-memory cache and serves them to AI systems via Model Context Protocol (MCP). This service is fully managed within Confluent Cloud and aims to solve the last-mile problem of serving real-time, contextualized data to AI applications. It unifies historical replay, continuous processing, and real-time serving on the Confluent Data Streaming Platform, abstracting Kafka and Flink complexity and providing built-in security, governance, and RBAC.