# dbx **Repository Path**: gooree/dbx ## Basic Information - **Project Name**: dbx - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 1 - **Forks**: 0 - **Created**: 2026-06-29 - **Last Updated**: 2026-06-30 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

60+ databases in 15 MB. Desktop & Docker self-hosting, with built-in AI assistant.

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## Why DBX?

🪶 15 MB, zero runtime bloat

No Java JRE. No Python venv. No bundled Chromium. DBX ships as a single small binary — download, install, connect. DBeaver needs Java; TablePlus is macOS-only. DBX runs everywhere with nothing extra.

🤖 AI that lives in your editor

Highlight a table, describe what you want, get SQL back — no copy-paste between tools. Works with Claude, OpenAI, or local models via Ollama. Built-in safety checks review AI-generated SQL before it runs.

🔌 MCP: your databases, AI-ready

DBX speaks the Model Context Protocol. Claude Code, Cursor, Windsurf, and other AI coding agents can query your databases through connections you already set up. One config, everywhere.

🌐 Desktop + Docker + Web

Native app on macOS, Windows, and Linux. Self-host via Docker for team access. Web version for browser-only environments. Same feature set. Same connections.

## Features ### 60+ Databases, One Tool MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, ClickHouse, SQL Server, Oracle, Elasticsearch, Qdrant, Milvus, Weaviate, MariaDB, TiDB, OceanBase, openGauss, GaussDB, KWDB, KingBase, Vastbase, GoldenDB, Doris, SelectDB, StarRocks, Manticore Search, Redshift, DM, TDengine, XuguDB, CockroachDB, Access, HighGo, and more. Agent/JDBC-oriented profiles extend DBX to H2, Snowflake, Trino, PrestoSQL, Hive, DB2, Informix, Neo4j, Cassandra, BigQuery, Kylin, SunDB, and custom JDBC connections. New native and agent-driven drivers also cover Databricks, SAP HANA, Teradata, Vertica, Firebird, Exasol, YashanDB, GBase 8a/8s, Databend, RQLite, Turso, InfluxDB, QuestDB, IoTDB, etcd, ZooKeeper, Nacos, IRIS, and more. Message queue admin is also available for Pulsar, Kafka, and RocketMQ. All in a single ~15 MB app. No bundled Chromium. ### Query Editor CodeMirror 6 with SQL syntax highlighting, metadata-aware autocomplete, `Cmd+Enter` execution, selected SQL execution, SQL formatting, diagnostics, and 9 editor themes. Persistent query history, saved SQL snippets, tab restore, and SQL file execution keep repeat work close at hand. ### AI SQL Assistant Describe what you want in plain language — get SQL back. DBX can explain queries, optimize SQL, fix errors, and run AI-generated SQL through built-in safety checks. Works with Claude, OpenAI, local models, or any OpenAI-compatible endpoint. ### Data Grid Virtual-scrolled table that handles large result sets. Inline editing, SQL preview before save, WHERE / ORDER BY controls, DataGrip-style filters, LIKE / NOT LIKE context filters, sorting, full-text search, pagination, column resize, auto-fit, row numbers, zebra stripes, and full cell details. Export or copy as CSV, JSON, Markdown, XLSX, or INSERT statements. ### Schema Tools - **Schema browser** — databases, schemas, tables, columns, indexes, foreign keys, triggers, with sidebar search & pin - **Object browser** — grouped procedures, functions, views, and source editing where supported - **Table structure editor** — reviewable column and index changes for supported engines - **ER diagram** — visualize table relationships - **Schema diff** — compare structures across connections - **Explain plan** — visual query execution plan - **Field lineage** — column-level lineage analysis - **Database search** — find objects across large schemas ### Data Operations - **Table import** — CSV, Excel - **Data transfer** — migrate between databases - **Database export** — full database dump - **Data compare** — compare table data and review synchronization output - **SQL file execution** — run `.sql` files directly - **File preview** — drag & drop Parquet, CSV, JSON to preview instantly (powered by DuckDB) - **Connection import** — bring connection profiles from DBeaver or Navicat ### Specialized Browsers - **Redis** — key pattern search, batch key operations, command runner, TTL editing, and all data types (String, Hash, List, Set, ZSet, Stream) - **MongoDB** — document CRUD with pagination, Atlas & replica set URL connection ### Safety & Connectivity SSH tunnel (key & password) · database and AI proxy settings · auto-reconnect on connection loss · confirmation dialogs for destructive operations · encrypted config export/import · color-coded connections · driver store and optional JDBC plugin ### Polished UI Dark mode with native title bar sync · 9 editor themes · English, 简体中文 & Español · layout preferences · built-in auto-update ## AI Agent Integration (MCP) DBX provides an [MCP server](packages/mcp-server/) that lets AI coding agents query your databases using connections already configured in DBX. ```bash npx @dbx-app/mcp-server ``` Add to your `.mcp.json`: ```json { "mcpServers": { "dbx": { "command": "npx", "args": ["-y", "@dbx-app/mcp-server"] } } } ``` Works with Claude Code, Cursor, Windsurf, and any MCP-compatible agent. Supports listing connections, browsing tables, executing SQL, and opening tables directly in DBX's UI. DBX also provides a dedicated CLI package for terminal, script, and Codex workflows: ```bash npm install -g @dbx-app/cli # or via Homebrew brew tap t8y2/dbx && brew install dbx-cli dbx connections list --json dbx query local "select 1" --json ``` See the [MCP server README](packages/mcp-server/README.md) and [CLI README](packages/cli/README.md) for details. ## Install Download the latest release from the [Releases](https://github.com/t8y2/dbx/releases/latest) page. **Homebrew (macOS):** ```bash brew install --cask dbx ``` **Scoop (Windows):** ```bash scoop bucket add dbx https://github.com/t8y2/scoop-bucket scoop install dbx ``` **WinGet (Windows):** ``` winget install t8y2.dbx ``` ## Self-Hosted (Docker) DBX provides a web version that can be deployed via Docker. ```bash docker run -d --name dbx -p 4224:4224 -v dbx-data:/app/data t8y2/dbx ``` Or with Docker Compose. A ready-to-use example lives at `deploy/docker-compose.yml`: ```yaml services: dbx: image: t8y2/dbx ports: - "4224:4224" volumes: - dbx-data:/app/data restart: unless-stopped volumes: dbx-data: ``` Open `http://localhost:4224` in your browser. Multi-arch images (amd64 / arm64) are available. ## Getting Started ### Prerequisites - [Node.js](https://nodejs.org/) >= 18 - [pnpm](https://pnpm.io/) - [Rust](https://www.rust-lang.org/tools/install) >= 1.77 #### System Dependencies **macOS:** No additional dependencies required. **Linux (Ubuntu/Debian):** ```bash sudo apt-get install -y libwebkit2gtk-4.1-dev libgtk-3-dev libappindicator3-dev librsvg2-dev patchelf libssl-dev ``` **Windows:** No additional dependencies required. ### Development ```bash make ``` `make` installs root dependencies when needed and starts the local Tauri desktop development environment. > [!TIP] > DuckDB compilation takes a while. If you're not working on DuckDB features, > skip it to speed up local builds: > > ```bash > # Fast checks (skip DuckDB) > make cargo-check-fast > make cargo-test-fast > > # Tauri dev without DuckDB > make dev-fast > ``` > > The `--no-default-features` flag only affects local development. > Release builds (`pnpm tauri build`) always include DuckDB. Web version: ```bash make dev-web # frontend make dev-backend # backend ``` Documentation site: ```bash make docs ``` The official DBX documentation site lives in `docs/`. If you want to improve the website content or documentation pages, edit the files under `docs/` and run `make docs` to preview the site locally. JDBC agent driver development projects live in `agents/`: ```bash cd agents ./gradlew test ``` Build artifacts from `agents/drivers//build/libs/` are picked up by local driver install flows when available. ### Build ```bash make package ``` The installer will be in `src-tauri/target/release/bundle/`. ## Tech Stack | Layer | Technology | | --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Framework | [Tauri 2](https://tauri.app/) | | Frontend | [Vue 3](https://vuejs.org/) + TypeScript | | UI | [shadcn-vue](https://www.shadcn-vue.com/) + Tailwind CSS | | Editor | [CodeMirror 6](https://codemirror.net/) | | Backend | Rust + [sqlx](https://github.com/launchbadge/sqlx) / [tiberius](https://github.com/prisma/tiberius) / [redis-rs](https://github.com/redis-rs/redis-rs) / [mongodb](https://github.com/mongodb/mongo-rust-driver) | ## Community Discord QQ Group WeChat Group [![LINUX DO](https://img.shields.io/badge/LINUX%20DO-Community-blue)](https://linux.do) ## FAQ
Is DBX free? Yes. DBX is open source under Apache-2.0. All features are free.
Does DBX phone home? No. DBX does not collect telemetry. The auto-update feature checks GitHub Releases for new versions — you can disable it in settings.
Can I use DBX without an internet connection? Yes. The desktop app works fully offline. For air-gapped driver installs, download offline driver packages from the [Offline Drivers page](https://dbxio.com/en/drivers) on an internet-connected machine, transfer them to the offline machine, then import them in DBX from Settings > Driver Manager. AI features need network access to the model endpoint (or a local model via Ollama).
How is DBX different from DBeaver / TablePlus / Beekeeper Studio? DBX is 15 MB with no runtime dependencies (no Java, no Python). It includes AI and MCP natively — not as plugins. It supports 60+ databases across desktop, Docker, and web from a single codebase.
What databases are supported? MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, ClickHouse, SQL Server, Oracle, Elasticsearch, Qdrant, Milvus, Weaviate, MariaDB, TiDB, OceanBase, openGauss, GaussDB, KWDB, KingBase, Vastbase, GoldenDB, Doris, SelectDB, StarRocks, Manticore Search, Redshift, DM, TDengine, XuguDB, CockroachDB, Access, HighGo, and more. Agent/JDBC-oriented profiles extend support to H2, Snowflake, Trino, PrestoSQL, Hive, DB2, Informix, Neo4j, Cassandra, BigQuery, Kylin, SunDB, Databricks, SAP HANA, Teradata, Vertica, Firebird, Exasol, YashanDB, GBase 8a/8s, Databend, RQLite, Turso, InfluxDB, QuestDB, IoTDB, etcd, ZooKeeper, Nacos, IRIS, and custom JDBC connections. Message queue admin (Pulsar, Kafka, RocketMQ) is also supported.
How do I report a bug or request a feature? Open an issue on GitHub Issues.
## Contributors ## Star History Star History Chart ## License [Apache-2.0](LICENSE)