Starburst announced multi-agent AI infrastructure in October 2025, giving enterprise customers tools to build, manage, and orchestrate networks of AI agents that can query governed data, execute workflows, and interoperate via an open standard called Model Context Protocol (MCP). These capabilities were announced for general availability in Q4 2025.

The multi-agent infrastructure includes a new MCP (Model Context Protocol) server and an agent API that allow enterprises to create and coordinate multiple AI agents alongside Starburst's own built-in AI agent. The platform also provides unified access to vector stores — databases that store data in a format optimized for AI search — across Iceberg, PostgreSQL/PGVector, and Elasticsearch, enabling retrieval-augmented generation (RAG) workflows. Model usage monitoring dashboards let teams track LLM interactions, set usage limits, and audit AI activity for governance and cost control. These capabilities were originally announced at Starburst's AI & Datanova conference on October 9, 2025, with general availability targeted for Q4 2025.