io.github.t8y2/dbx MCP Server
io.github.t8y2/dbx
Query 80+ databases from AI agents using DBX connections configured in your desktop app.
What is the io.github.t8y2/dbx MCP server?
The DBX MCP server is a Rust-powered Model Context Protocol server that enables AI coding agents like Claude, Cursor, and Windsurf to query databases using connections already configured in the DBX desktop application. It supports 80+ database types and integrates safety controls for read-only, safe write, and full access modes.
DBX MCP lets you expose your database connections to AI agents without duplicating credentials or configuration. Configure connections once in the DBX desktop app, then use them directly from Claude, Cursor, or other MCP-compatible AI tools. The server enforces permission levels (read-only, safe write, full access) and includes built-in safety checks for AI-generated SQL.
How to install io.github.t8y2/dbx
Copy-paste configuration for popular MCP clients.
Tools & capabilities
Tools this server exposes to the agent.
Database Query— Execute SQL queries against configured database connectionsConnection Management— Access databases configured in DBX with permission-based access control (read-only, safe write, full access)Schema Inspection— Browse database schemas, tables, columns, and metadata
Use cases
- Query your database directly from Claude or Cursor to fetch data for analysis or code generation
- Generate SQL from natural language descriptions and execute it safely against your databases
- Inspect database schemas and structure while working in your AI coding agent
- Migrate or compare data across multiple database connections managed in DBX
- Execute AI-generated SQL with built-in safety checks before running against production databases
io.github.t8y2/dbx MCP server FAQ
DBX MCP is a Rust-powered server that connects AI agents (Claude, Cursor, Windsurf) to databases you've configured in the DBX desktop application. It lets agents query your databases directly without duplicating connection credentials.
Yes. The MCP server queries databases using connections configured in the DBX desktop application. You must have DBX installed and connections set up there first.
Install via npm: `npx @dbx-app/mcp-server`. Add to your `.mcp.json` config file with the command `npx` and args `["-y", "@dbx-app/mcp-server"]`.
Yes. DBX and its MCP server are open-source and free to use.
80+ databases including MySQL, PostgreSQL, SQLite, MongoDB, Redis, DuckDB, ClickHouse, SQL Server, Oracle, Elasticsearch, and many others. Agent-based profiles extend support to Snowflake, BigQuery, Neo4j, and more.
Yes. Manage permission levels in DBX Settings → MCP: read-only, safe write (data modifications), or full access. You can also maintain a connection allowlist to restrict which databases agents can access.
README (reference)
Source of truth, from the repository.
Why DBX?
<table> <tr> <td width="50%"> <h3>🪶 20 MB, zero runtime bloat</h3> <p>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.</p> </td> <td width="50%"> <h3>🤖 AI that lives in your editor</h3> <p>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.</p> </td> </tr> <tr> <td> <h3>🔌 MCP: your databases, AI-ready</h3> <p>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.</p> </td> <td> <h3>🌐 Desktop + Docker + Web</h3> <p>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.</p> </td> </tr> </table>Features
80+ Databases, One Tool
MySQL, PostgreSQL, SQLite, Cloudflare D1, Redis, MongoDB, DuckDB, ClickHouse, SQL Server, Oracle, Elasticsearch, Easysearch, Meilisearch, Qdrant, Milvus, Weaviate, MariaDB, TiDB, OceanBase, openGauss, GaussDB, KWDB, KingbaseES, Vastbase, GoldenDB, Doris, SelectDB, StarRocks, Manticore Search, Redshift, DM, TDengine, XuguDB, CockroachDB, Access, HighGo, UXDB, Dolt, and more. Agent-based profiles extend DBX to H2, Snowflake, Trino, PrestoSQL, Hive, DB2, Informix, Neo4j, Cassandra, BigQuery, Kylin, SunDB, JDBCX, 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, Consul KV, IRIS, and more. Message queue admin is also available for Pulsar, Kafka, and RocketMQ. All in a single ~20 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
.sqlfiles 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 a separate Rust-powered MCP server that lets AI coding agents query databases using connections configured in DBX. The MCP server is distributed independently from the desktop application, so installing DBX does not automatically install the MCP executable.
npx @dbx-app/mcp-server
Add to your .mcp.json:
{
"mcpServers": {
"dbx": { "command": "npx", "args": ["-y", "@dbx-app/mcp-server"] }
}
}
Manage the connection allowlist and the Read only, Data read/write, and Full access modes in DBX Settings → MCP. The machine-readable values remain read_only, safe_write, and high_risk_write; client configs do not need permission or connection-scope environment variables.
For upgrade compatibility, an existing DBX_MCP_ALLOW_WRITES=0 (or false) remains a read-only restriction only until a central MCP policy is saved for the first time; it can never enable writes or override a saved policy.
Windows portable builds need DBX_DATA_DIR in the MCP config, pointing to the data directory next to DBX.exe (the folder that contains dbx.db).
For DBX Web or Docker deployments, point the MCP server at the Web backend API. If the Web login page requires a password, set DBX_WEB_PASSWORD to the same password used there:
{
"mcpServers": {
"dbx": {
"command": "npx",
"args": ["-y", "@dbx-app/mcp-server"],
"env": {
"DBX_WEB_URL": "http://localhost:4224",
"DBX_WEB_PASSWORD": "your-web-login-password"
}
}
}
}
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.
Precompiled native binaries are also published for macOS, Linux, and Windows in package releases. They run without Node.js and are suitable for offline or server environments. The npm installation uses the same Rust binary through a small Node.js launcher.
DBX also provides a dedicated CLI package for terminal, script, and Codex workflows:
npm install -g @dbx-app/cli
# or via Homebrew
brew tap t8y2/tap && brew install dbx-cli
dbx connections list --json
dbx query local "select 1" --json
See the MCP server README and CLI README for details.
Install
Download the latest release from the Releases page.
Homebrew (macOS):
brew install --cask dbx
Scoop (Windows):
scoop bucket add dbx https://github.com/t8y2/scoop-bucket
scoop install dbx
WinGet (Windows):
winget install t8y2.dbx
Flatpak (Linux):
flatpak remote-add --if-not-exists flatpark https://dl.flatpark.org/flatpark.flatpakrepo
flatpak install flatpark com.dbxio.dbx
Updates then arrive through the regular flatpak update. See the DBX page on FlatPark for details.
Self-Hosted (Docker)
DBX provides a web version that can be deployed via Docker. The examples use
the latest tag to pull the current release.
docker run -d --pull=always --name dbx -p 4224:4224 -v dbx-data:/app/data t8y2/dbx:latest
This uses the cross-platform dbx-data named volume. Users in China can use
the CNB image, docker.cnb.cool/dbxio.com/dbx:latest, for faster pulls.
For Docker Compose, deploy/docker-compose.yml remains the source-build
configuration. To deploy a published image, use
deploy/docker-compose.release.yml:
docker compose -f deploy/docker-compose.release.yml up -d
services:
dbx:
image: t8y2/dbx:latest
# For faster pulls in China, use the CNB image instead:
# image: docker.cnb.cool/dbxio.com/dbx:latest
pull_policy: always
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.
To publish DBX under a reverse-proxy context path such as /dbx, set the
runtime base path and proxy the same prefix to the container:
environment:
- DBX_PUBLIC_BASE_PATH=/dbx
When building the frontend yourself with an absolute asset base, set
VITE_DBX_BASE_PATH=/dbx/ before pnpm build.
Getting Started
Prerequisites
System Dependencies
macOS:
No additional dependencies required.
Linux (Ubuntu/Debian):
sudo apt-get install -y libwebkit2gtk-4.1-dev libgtk-3-dev libappindicator3-dev librsvg2-dev patchelf libssl-dev
NIXOS/NIX :
<a href="README-NIX.md">See README-NIX.md</a>
Windows:
No additional dependencies required.
Development
make
make installs root dependencies when needed and starts the local Tauri desktop development environment.
Development builds can run alongside an installed DBX instance and share its local data, including connections and history. Avoid changing the same connection or global setting in both windows at once.
[!TIP] DuckDB compilation takes a while. If you're not working on DuckDB features, skip it to speed up local builds:
# Fast checks (skip DuckDB) make cargo-check-fast make cargo-test-fast # Tauri dev without DuckDB make dev-fastThe
--no-default-featuresflag only affects local development. Release builds (pnpm tauri build) always include DuckDB.
Web version:
make dev-web # frontend
make dev-backend # backend
Documentation site:
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.
For clean, reproducible local database instances, use the versioned Docker Compose recipes under deploy/database/:
make db-list
make db-verify DB=mysql@8.4
JDBC agent driver development projects live in agents/:
cd agents
./gradlew test
Build artifacts from agents/drivers/<db-type>/build/libs/ are picked up by local driver install flows when available.
Build
make package
The installer will be in src-tauri/target/release/bundle/.
Tech Stack
| Layer | Technology |
|---|---|
| Framework | Tauri 2 |
| Frontend | Vue 3 + TypeScript |
| UI | shadcn-vue + Tailwind CSS |
| Editor | CodeMirror 6 |
| Backend | Rust + sqlx / tiberius / redis-rs / mongodb |
Documentation
- Official docs — feature guides and tutorials
- Database Test Lab — local database recipes for development and verification
- Contributing — how to pick up issues and open PRs
- Web API reference — HTTP API for Docker/Web deployments
- Examples — CLI, MCP, Docker, and API samples
Support DBX
DBX is free and open source, but ongoing maintenance, database compatibility testing, infrastructure, and release work require sustained time and resources.
Sponsors & Partners
<table> <tr> <td align="center" width="180"> <a href="https://www.rainyun.com/MTE5Mjc4Ng==_" target="_blank"> <img src="https://www.rainyun.com/img/logo.d193755d.png" alt="RainYun" height="48" /> </a> </td> <td> RainYun is a cloud service provider offering cloud servers, physical servers, game hosting, and developer-friendly infrastructure services. </td> <td align="center" width="140"> <a href="https://www.rainyun.com/MTE5Mjc4Ng==_" target="_blank">Visit RainYun</a> </td> </tr> <tr> <td align="center" width="180"> <a href="https://www.qiniu.com/" target="_blank"> <img src="https://www-static.qbox.me/_next/static/media/logo.0fc18feaa621d2068a7180631f742256.jpg" alt="Qiniu Cloud" height="64" /> </a> </td> <td> Qiniu Cloud provides DBX with object storage, CDN, and other cloud infrastructure resources. </td> <td align="center" width="140"> <a href="https://www.qiniu.com/" target="_blank">Visit Qiniu Cloud</a> </td> </tr> <tr> <td align="center" width="180"> <a href="https://easysearch.cn" target="_blank"> <img src="docs/public/sponsors/easysearch.png" alt="Easysearch" width="150" /> </a> </td> <td> Easysearch is an enterprise-grade distributed search engine compatible with Elasticsearch APIs, combining full-text, vector, geospatial search, real-time analytics, and AI capabilities in one platform. </td> <td align="center" width="140"> <a href="https://easysearch.cn" target="_blank">Visit Easysearch</a> </td> </tr> <tr> <td align="center" width="180"> <a href="https://www.atlascloud.ai/?ref=6YYXWA" target="_blank"> <img src="https://www.atlascloud.ai/logo.svg" alt="Atlas Cloud" width="150" /> </a> </td> <td> Atlas Cloud gives developers one unified API for 400+ AI models across chat, image, video, and audio. </td> <td align="center" width="140"> <a href="https://www.atlascloud.ai/?ref=6YYXWA" target="_blank">Visit Atlas Cloud</a> </td> </tr> </table>- Support DBX — voluntary donations via WeChat or Alipay
- Sponsors & Partners — sponsorship, infrastructure, tools, and community collaboration
Contributors
<a href="https://github.com/t8y2/dbx/graphs/contributors"> <img src="https://contrib.rocks/image?repo=t8y2/dbx" /> </a>Community
<a href="https://discord.gg/W7NyVDRt6a" target="_blank"><img src="https://img.shields.io/badge/Discord-Join-5865F2?logo=discord&logoColor=white" alt="Discord" /></a>
<a href="https://qm.qq.com/q/1087880322" target="_blank"><img src="https://img.shields.io/badge/QQ%20群-1087880322-EB1923?logo=tencentqq&logoColor=white" alt="QQ Group" /></a>
<a href="https://docs.qq.com/doc/DVVhMY0h1ekJqc0tz" target="_blank"><img src="https://img.shields.io/badge/微信群-Join-07C160?logo=wechat&logoColor=white" alt="WeChat Group" /></a>
Star History
<a href="https://www.star-history.com/?repos=t8y2%2Fdbx&type=date&legend=top-left"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/chart?repos=t8y2/dbx&type=date&theme=dark&legend=top-left" /> <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/chart?repos=t8y2/dbx&type=date&legend=top-left" /> <img alt="Star History Chart" src="https://api.star-history.com/chart?repos=t8y2/dbx&type=date&legend=top-left" /> </picture> </a>License
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