Amazon Quick now integrates with Snowflake Cortex AI

Amazon Web Services has announced that Amazon Quick now integrates with Snowflake Cortex AI through the Model Context Protocol (MCP), allowing teams to query Snowflake data and documents using natural language queries and automate multi-step workflows directly within their Quick workspace. The integration leverages Snowflake's managed MCP server with OAuth authentication, enabling users to ask questions across structured data through Cortex Analyst and retrieve insights from unstructured documents through Cortex Search. The new integration allows users to build Flows in Quick that orchestrate Snowflake Cortex Agents to execute repeatable, governed workflows with consistent structured output, particularly useful for multi-step processes spanning both structured data and unstructured documents. Users can also access the MCP connection through Quick Chat and other Quick features for ad-hoc follow-up questions or conversational exploration of their Snowflake data. Quick intelligently routes relevant prompts to Snowflake Cortex AI and returns contextualized answers alongside enterprise knowledge stored in Quick Spaces, providing both structured process rigor and conversational interface flexibility. The Snowflake Cortex AI integration with Amazon Quick is now available in all AWS Regions where Amazon Quick is offered, expanding the platform's AI-driven data analysis capabilities for enterprise users managing complex data workflows across structured and unstructured information sources.