Amazon Quick is a generative AI-powered desktop workspace from Amazon Web Services that combines data visualization, process automation, and a conversational AI assistant in one downloadable application. Launched in preview in April 2026, it lets you analyze local files, connect AI agents via the Model Context Protocol (MCP), and sync knowledge across devices—without needing an AWS account to start.

What Is Amazon Quick?

Formerly known as Amazon QuickSight, Amazon Quick rebranded and evolved beyond business intelligence into a full desktop AI workbench. It's available for macOS and Windows as a native client. The core idea is to give professionals, developers, and teams a single hub where they can ask questions in natural language, build interactive dashboards, generate reports and even PowerPoint decks, and orchestrate multi-step automations—all locally and securely.

The preview release, announced at the What’s Next with AWS event, brought local file direct-read capabilities and MCP connectivity, making it a serious tool for anyone who wants to work with AI alongside their own documents and APIs.

Key Features of Amazon Quick

  • Natural language analytics:Ask questions about your data and get instant answers, charts, or dashboards without writing SQL or Python.
  • Local file access:Open CSV, Excel, JSON, and other files directly from your computer and query them on the spot.
  • MCP integration:Connect local AI agents and tools via the Model Context Protocol (MCP) to extend Quick with custom capabilities.
  • Knowledge graph sync:Build a personal or team knowledge graph that syncs across desktop and web, so your insights follow you anywhere.
  • Automation engine (Quick Automate):Design multi-step workflows that span approvals, procurement, customer service, and more, all without code.
  • Presentation generation:Turn data findings into polished PowerPoint slides with a single click.

How to Get Started with Amazon Quick

You don't need an AWS account to use the personal edition. Simply visit quick.aws.com (or the AWS Quick download page), create a free account with your Google, Apple, or GitHub login, and download the desktop client. The installer walks you through setup in minutes.

Once installed, you can immediately start a new workspace, connect to your local files, and experiment with the AI assistant. For teams, AWS also offers cloud-connected workspaces with collaboration features.

Amazon Quick for Developers: MCP and Local File Control

One of the most compelling parts of the preview is the MCP (Model Context Protocol) local connection. This lets developers wire up their own local AI agents or tools directly into Amazon Quick, turning the desktop application into a control panel for custom automations and data pipelines.

Combined with direct local file reading, you can keep sensitive data on your machine while still leveraging AWS's AI models for analysis. The knowledge graph layer further helps by remembering your entities and relationships across sessions, so context is never lost.

Use Cases: From Data Analysis to Automated Workflows

Data Analysts and Business Users

Data analysts can replace complex BI toolchains with a single window: connect to a CSV of sales data, ask questions about trends, and generate a dashboard that updates live as you refine the query.

Developers and Makers

Developers can build prototypes that combine Quick's AI with their own MCP endpoints—for example, a local code review agent that reads from a Git repository and feeds results into a Quick dashboard.

Operations and Process Owners

With Quick Automate, teams can model approval flows or customer ticketing sequences and run them directly from the desktop, reducing the need for separate automation platforms.

What's Next and Where to Begin

Amazon Quick is still in preview, but it already shows how generative AI can transform a desktop workspace. If you work with data, code, or repetitive processes, downloading the client and trying local file queries and MCP connections is a great first step. Expect deeper integration with AWS services and more automation templates as the product matures.

Visit the official site at quick.aws.com to get the latest version and follow community blogs for tips and use-case examples.