SQL Explorer is a native desktop app — no account, no server to set up. Here's the quickest path from install to running SQL against your own database.
Grab the build for your OS on the download page — Windows, macOS or Linux. No account, no telemetry wall.
Click New connection, pick an engine — PostgreSQL, MySQL, SQL Server and SQLite are built in; MongoDB, Redis, DragonflyDB and Elasticsearch install from the Plugin Store — and enter your details.
Expand the connection tree to walk databases, schemas, tables, views and routines. Everything loads lazily, so even large servers stay snappy.
Open a SQL tab and start typing (or load a file with Ctrl+O), then press F5 to run. Edit results in place and commit back with the generated SQL, shown for review before it runs.
Open the Plugin Store via Tools → Plugin Store to add more providers, tools and extensions. The four SQL engines are built in; everything else — first-party or third-party — installs the same way.
Enable the MCP server per connection — opt-in and fail-closed — so AI assistants can query your data over the Model Context Protocol, on a loopback port you control.