Confluent Launches Real-Time Context Engine for Enhanced AI Decision-Making
Confluent, Inc. has unveiled the Real-Time Context Engine, a fully managed service utilizing Model Context Protocol (MCP) to deliver structured, real-time data to AI agents, large language models, and applications. This innovative solution addresses the challenge of stale, fragmented data that often hampers AI effectiveness. “AI is only as good as its context,” noted Sean Falconer, Head of AI at Confluent. By unifying data processing, the engine transforms continuous data streams into live context, enabling reliable AI decisions. Key features include access to accurate real-time data, robust governance for compliance, and metadata delivery for enhanced AI reasoning. This service allows developers to leverage Confluent’s complete data streaming platform for seamless integration across organizational systems. Currently in Early Access, the Real-Time Context Engine positions organizations to improve AI outcomes and achieve real-time operational excellence. For more information, visit confluent.io.
