Confluent Cloud Q2 2026: dbt adapter, Confluent Intelligence updates

What this post added

Introduces a managed Model Context Protocol (MCP) server for Confluent Cloud, providing a scalable and highly available interface for AI agents to discover and debug Confluent resources. Also introduces Confluent Agent Skills, which encode Confluent best practices directly into AI agents to accelerate development and improve deployment quality. Enhances Flink accessibility with a dbt adapter for Confluent Cloud, enabling data engineers to define, test, and deploy streaming pipelines using dbt workflows. Introduces Materialized Tables for simplified Flink pipeline evolution with automated offset management and job orchestration. Adds Process Table Functions (PTFs) for custom, stateful stream processing logic in Java. Enables external connectivity for user-defined functions (UDFs) to interact with external APIs and services. Announces General Availability for Snapshot Queries, unifying batch and streaming workloads by enabling point-in-time SQL queries on historical and real-time data.