PostgreSQL Tooling Across AI Editors and Agents

Developers interact with PostgreSQL through a mix of editors, terminals, query consoles, plan viewers, and monitoring tools. As AI-native editors and agent-driven tools become part of everyday workflows, it’s increasingly valuable for PostgreSQL capabilities to be available wherever developers and agents operate, building on the strong foundation established in the VS Code PostgreSQL extension.

In this session, we’ll show how PostgreSQL connection management, query execution, schema analysis, plan inspection, and performance insights are being extended from the VS Code PostgreSQL extension to Cursor and the GitHub Copilot CLI using an MCP server as the shared interface. Rich editor environments like VS Code and Cursor support interactive query execution, visualized results, and AI-assisted plan inspection and tuning. The same MCP-backed foundation enables the GitHub Copilot CLI to establish connections, run queries, analyze schemas, inspect plans, and reason about performance without a visual UI.

We’ll also discuss how this architecture positions PostgreSQL tooling to continue expanding as new AI-driven environments emerge, allowing core database capabilities to surface naturally wherever AI developers work.