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[ARTICLE · art-111865] src=blog.jetbrains.com ↗ pub= topic=ai-tools verified=true sentiment=↑ positive

AI Agents in DataGrip

JetBrains released a new video demonstrating AI agent integration in DataGrip, its database IDE, supporting Claude Code, Codex, and Junie through built-in MCP tools and skills. The video covers connection setup from text descriptions or JDBC URLs, natural language schema insights, text-to-SQL queries, schema cleanup with dependency checks, and object mentions using @dbObject and @fileName identifiers.

read1 min views1 publishedAug 26, 2026
AI Agents in DataGrip
Image: Blog (auto-discovered)

The most recent DataGrip release is packed with goodies, but the headline feature is the ability to work with AI agents.

Today, we dropped a new video showing you how to get the most out of this integration. Whether you prefer Claude Code, Codex, or Junie, DataGrip powers them up with database capabilities, thanks to our built-in MCP tools and skills.

What’s covered in the video:Connection Setup: Create data sources directly from a text description, a JDBC URL, or by importing connections from another tool.Talk to Your Schema: Ask agents for insights into your database architecture using natural language.Text-to-SQL: Query data using natural language requests. AI agents leverage your schema structure to deliver accurate results.Schema Cleanup: Watch the AI auto-detect out-of-place tables and perform dependency safety checks before running cleanup operations.Object Mentions: Learn how to target specific database objects using the @dbObject

identifier or files using the @fileName

identifier.

Watch the full video and let us know your thoughts! What scenarios would you love to see us support next?

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