# Using Amazon Q Developer with Amazon SageMaker Unified Studio Using Amazon Q Developer Amazon SageMaker Unified Studio has an integration with Amazon Q Developer with which you can interact with AWS resources through a conversational interface. You can ask questions about your assets in Amazon SageMaker Unified Studio using simple, natural language queries within the Amazon Q Developer chat interface. For getting started flows that walk you through implementing Amazon Q Developer in Amazon SageMaker Unified Studio, see [Getting started with Amazon Q Developer generative AI chat and command line tools](qdeveloper-integration.md). Amazon Q Developer provides contextual generative AI assistance through Amazon Q chat or Amazon Q CLI. It helps data engineers, ML data developers, and other users in Amazon SageMaker Unified Studio with: + Creating and analyzing code + Understanding and managing workspaces + Running AWS CLI commands + Setting up projects and pipelines + Creating functions for you + Configuring Jupyter notebooks Amazon Q Developer implements Model Context Protocol (MCP) integration, allowing you to configure your MCP information when using Q chat or Q CLI. For more information about MCP integration, see [Using MCP with Amazon Q Developer](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/qdev-mcp.html). **Topics** + [ ## About signing up ](#q-actions-aboutsignup) + [ ## Prompts ](#q-actions-aboutprompts) + [ ## Context files ](#q-actions-contextfiles) + [ ## Command reference ](#q-actions-commandreference) + [ ## Region ](#q-actions-region) + [ ## Start using Amazon Q chat ](#q-actions-start-chat) + [ ## Start using Amazon Q CLI ](#q-actions-start-CLI) ## About signing up About signing up Users in Amazon SageMaker Unified Studio can access Amazon Q Developer by signing in with their Amazon SageMaker Unified Studio SSO that is configured for either the Amazon Q Developer Free Tier or Pro Tier. For more information, see [Amazon Q Developer pricing](https://aws.amazon.com/q/developer/pricing/). For more detail about setting up Q assistance in Amazon SageMaker Unified Studio, see [Using the coding assistant](using-the-coding-assistant.md). ## Prompts Include relevant information in your prompts to provide additional context for more accurate assistance. + Your level of familiarity or expertise + Information about your role + A brief description of the goal or outcome for the task ## Context files Amazon Q Developer is contextually aware of your workspace and can use additional information that you configure, such as: + Python development rules loaded for a developer profile + Public sources + MCP sources + Custom `context.json` file For more information about managing context, see [Context management and profiles](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-context-profiles.html) in the *Amazon Q Developer User Guide*. ## Command reference Amazon Q Developer includes comprehensive command reference pages: + **Q chat command reference** (beginning with a forward slash) + Example: Use `/tools` in Q chat to to list the built in and MCP provided tools. + Documentation: [Chat commands](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-chat-commands.html) in the *Amazon Q Developer User Guide* + **Editor command** + Documentation: [Using the editor command in the CLI](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-editor.html) in the *Amazon Q Developer User Guide* + **Q CLI command line reference** + Documentation: [Amazon Q CLI command reference](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-reference.html) in the *Amazon Q Developer User Guide* + **MCP configuration commands** + Documentation: [MCP configuration in the CLI](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-mcp-config-CLI.html) in the *Amazon Q Developer User Guide* ## Region When you use Amazon Q Developer in Amazon SageMaker Unified Studio, your content is stored in the US East (N. Virginia) Region and may be processed in other US Regions. For more information, access Amazon Q Developer documentation [here](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/data-storage.html) and [here](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/cross-region-processing.html). **Note** Amazon Q Developer in Amazon SageMaker Unified Studio only supports Amazon Q Developer profiles configured in the US East (N. Virginia) Region. ## Start using Amazon Q chat To start using Amazon Q Developer to chat about your project and your assets: 1. Log in to your AWS account and navigate to Amazon SageMaker Unified Studio. 1. Select the Amazon Q Developer chat interface within Amazon SageMaker Unified Studio. 1. Begin typing your query in natural language, asking Q to list Amazon SageMaker AI catalog assets published in the catalog. For example, you can say: "Find me data on sales". 1. To open JupyterLab, choose **Build**, and then choose **JupyterLab**. If you are in JupyterLab, you can chat with Q with additional Amazon Q chat contextual awareness. For a flow that walks you through getting started with Q chat in JupyterLab, see [Getting started using Q chat](qdeveloper-integration-start-chat.md). Amazon Q Developer interprets your query, executes the appropriate API calls, and returns the results directly in the chat interface. ## Start using Amazon Q CLI To start using Amazon Q Developer to interact with Q CLI about your project and your assets: 1. Log in to your AWS account and navigate to Amazon SageMaker Unified Studio. 1. To open JupyterLab, choose **Build**, and then choose **JupyterLab**. For a flow that walks you through getting started with Q CLI in JupyterLab, see [Getting started with Q CLI](qdeveloper-integration-start-CLI.md).