Amazon Redshift for Agentic AI
Let AI agents query and manage your warehouse. Just ask in plain language.
A comprehensive set of tools for you and your agent.
Ask your data warehouse questions in plain language and get answers you can act on, without writing SQL from scratch. Amazon Redshift gives you tools for every part of the job. You can query conversationally through the open source MCP server, manage your warehouse with the Agent Toolkit for AWS, and tune performance and troubleshoot automatically with Amazon Bedrock.
Benefits
Describe what you want in plain language. No memorizing schemas or dialect-specific syntax. The AI layer handles query formulation.
Go from question to answer in seconds. Natural language interfaces compress the full analysis cycle.
Receive daily AI-generated, workload-specific tuning recommendations citing actual query IDs, table names, and measured metric values.
Read-only by default, confirmation before each write, permissions inherited from your IAM and database grant.
Key features
Conversational analytics
Ask questions about your data from the AI tools you already use. Connect the Amazon Redshift MCP server to agents such as Kiro, AWS Quick, Anthropic Claude Code, or OpenAI Codex, and work with your warehouse in plain language. You can explore data, run queries, and review results in one conversation, so your analysis keeps moving.
Integration with Amazon Bedrock
Use Amazon Redshift ML to run generative AI tasks like summarization, classification, and text generation directly in SQL. With Amazon Bedrock Knowledge Bases, your team can also ask questions about your structured data in plain language and get answers grounded in your warehouse.
AI-assisted warehouse management
Turn your agent into a Redshift expert. The Agent Toolkit for AWS provides curated Amazon Redshift skills, packaged bundles of tested procedures, SQL syntax references, and Redshift-specific guidance. Your agent can use them to handle the tasks you'd otherwise look up in the docs or write from scratch, so your team can spend less time on upkeep and more time on finding insights.
Natural language exploration
Explore your data by describing what you need in plain language. The open source Amazon Redshift MCP server connects AI agents such as Kiro, AWS Quick and Claude Desktop directly to your warehouse. Your agent turns each request into SQL and runs it through the Amazon Redshift Data API, so you get results without writing a query or leaving your tool.
Automated diagnosis & remediation
Get a short list of the Redshift tuning steps that will help most, delivered to your inbox every day. The Agentic AI Performance Recommendations solution collects telemetry from your warehouse and turns it into performance signals. It then uses Amazon Bedrock to rank recommendations specific to your workloads. Get expert-level guidance without monitoring dashboards or digging through system tables.
Resources
Get started with Amazon Redshift's agentic AI tools
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