DataGrip 2026.2: AI Agent Skills, MCP Tools and CLI Commands for Data Source Management, Bundled JDBC Drivers, and Improved Session Control JetBrains released DataGrip 2026.2, adding AI agent skills for database operations, MCP tools for data source management, CLI commands for data sources, bundled JDBC drivers, and improved session control. The update introduces interactive onboarding and a redesigned Welcome screen to streamline the user experience. DataGrip 2026.2: AI Agent Skills, MCP Tools and CLI Commands for Data Source Management, Bundled JDBC Drivers, and Improved Session Control DataGrip 2026.2, the second major update of the year, is here Let’s take a look at what’s inside. AI This release introduces three AI agent skills for working with databases: database-tools , database-connection-management , and database-text-to-sql . Together, they let AI agents explore and query connected databases, configure and update database connections, and generate SQL based on your database schema directly from the AI chat. The skills also include the corresponding MCP tools, so no additional setup is required. To help agents work with data source management tasks, we’ve added two new MCP tools – create database connection and edit database connection – and included them in the database-connection-management skill. With these MCP tools and the new skill, you can, for example, ask an agent to create a new data source in chat, providing the connection details in your prompt. Next up is an update for those who work with AI agents in CLI. Now, before performing an operation on a database, an agent asks for your consent and shows you what it is about to do. SQL queries are syntax-highlighted for better readability: This release also brings a number of smaller enhancements that make AI-assisted database workflows smoother and more reliable: - AI Assistant now remembers query results from previous interactions, so you can fetch additional rows without rerunning the query. - When an AI agent creates a database object, it appears in the Database Explorer right away. - AI agents are now better at resolving database objects. They can distinguish between objects that don’t exist and objects that haven’t been introspected yet. - Queries executed by AI agents are now included in the data source query history, making it easier to review AI-generated SQL alongside your own queries. - When an SQL query fails, AI agents now receive the database’s actual error message instead of a generic error, allowing them to respond more accurately. - The list database connections MCP tool no longer returns an output schema error when parameters with default values are provided. We’ve also redesigned the schema attachment UI in the AI Chat tool window and removed the AI Assistant plugin requirement for database-specific MCP tools. A smoother start We’ve reworked the first steps a user takes in the IDE. The Welcome screen that you saw when starting DataGrip for the first time or after closing all projects – it used to be a modal dialog, but now it is a regular IDE tab. You can have it open and use the IDE at the same time. This new Welcome tab appears in the default project. In this release, we’re also introducing an interactive onboarding tour https://www.jetbrains.com/help/datagrip/2026.2/feature-trainer.html . The tour shows you around the essential UI areas and walks through the IDE’s core features. It demonstrates key actions in the Database Explorer tool window, the data source settings dialog, query execution in a query console, viewing and working with query result sets, and submitting changes to a database. CLI commands for data sources Now you can perform some actions on data sources in a command-line interface CLI https://www.jetbrains.com/help/datagrip/2026.2/cli-commands-for-data-sources.html . We’ve introduced the list and manage commands that allow you to manage your connections and drivers. The syntax is: datagrip dataSources