Content
> [!NOTE]
> Brought to you by [Bytebase](https://www.bytebase.com/), open-source database DevSecOps platform.
<p align="center">
<a href="https://dbhub.ai/" target="_blank">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/bytebase/dbhub/main/docs/images/logo/full-dark.svg" width="75%">
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</p>
```bash
+------------------+ +--------------+ +------------------+
| | | | | |
| | | | | |
| Claude Desktop +--->+ +--->+ PostgreSQL |
| | | | | |
| Claude Code +--->+ +--->+ SQL Server |
| | | | | |
| Cursor +--->+ DBHub +--->+ SQLite |
| | | | | |
| VS Code +--->+ +--->+ MySQL |
| | | | | |
| Copilot CLI +--->+ +--->+ MariaDB |
| | | | | |
| | | | | |
+------------------+ +--------------+ +------------------+
MCP Clients MCP Server Databases
```
DBHub is a zero-dependency, token efficient MCP server implementing the Model Context Protocol (MCP) server interface. This lightweight gateway allows MCP-compatible clients to connect to and explore different databases:
- **Local Development First**: Zero dependency, token efficient with just two MCP tools to maximize context window
- **Multi-Database**: PostgreSQL, MySQL, MariaDB, SQL Server, and SQLite through a single interface
- **Multi-Connection**: Connect to multiple databases simultaneously with TOML configuration
- **Guardrails**: Read-only mode, row limiting, and query timeout to prevent runaway operations
- **Secure Access**: SSH tunneling and SSL/TLS encryption
## Supported Databases
PostgreSQL, MySQL, SQL Server, MariaDB, and SQLite.
## MCP Tools
DBHub implements MCP tools for database operations:
- **[execute_sql](https://dbhub.ai/tools/execute-sql)**: Execute SQL queries with transaction support and safety controls
- **[search_objects](https://dbhub.ai/tools/search-objects)**: Search and explore database schemas, tables, columns, indexes, and procedures with progressive disclosure
- **[Custom Tools](https://dbhub.ai/tools/custom-tools)**: Define reusable, parameterized SQL operations in your `dbhub.toml` configuration file
## Workbench
DBHub includes a [built-in web interface](https://dbhub.ai/workbench/overview) for interacting with your database tools. It provides a visual way to execute queries, run custom tools, and view request traces without requiring an MCP client.
## Installation
See the full [Installation Guide](https://dbhub.ai/installation) for detailed instructions.
### Quick Start
**Docker:**
```bash
docker run --rm --init \
--name dbhub \
--publish 8080:8080 \
bytebase/dbhub \
--transport http \
--port 8080 \
--dsn "postgres://user:password@localhost:5432/dbname?sslmode=disable"
```
**NPM:** (requires Node.js >= 22.5.0)
```bash
npx @bytebase/dbhub@latest --transport http --port 8080 --dsn "postgres://user:password@localhost:5432/dbname?sslmode=disable"
```
**Demo Mode:**
```bash
npx @bytebase/dbhub@latest --transport http --port 8080 --demo
```
**Restrict to loopback (recommended for production):**
```bash
npx @bytebase/dbhub@latest --transport http --host 127.0.0.1 --port 8080 --demo
```
> The HTTP transport defaults to `--host 0.0.0.0`, exposing DBHub on every network interface. For production, bind to `127.0.0.1` and front DBHub with a reverse proxy (nginx/Caddy) or firewall — DBHub does not authenticate HTTP clients.
>
> The HTTP transport also has built-in DNS-rebinding protection: it only accepts requests whose `Host` is loopback, this machine's own hostname/IPs, or a name you allow via [`--allowed-hosts`](https://dbhub.ai/config/command-line#allowed-hosts). If a client behind a reverse proxy or custom DNS name gets a `403`, add that hostname with `--allowed-hosts`.
See [Command-Line Options](https://dbhub.ai/config/command-line) for all available parameters.
### Multi-Database Setup
Connect to multiple databases simultaneously using TOML configuration files. Perfect for managing production, staging, and development databases from a single DBHub instance.
See [Multi-Database Configuration](https://dbhub.ai/config/toml) for complete setup instructions.
## Development
Requires Node.js >= 22.5.0 (DBHub uses the built-in `node:sqlite` module).
```bash
# Install dependencies
pnpm install
# Run in development mode
pnpm dev
# Build and run for production
pnpm build && pnpm start --transport stdio --dsn "postgres://user:password@localhost:5432/dbname"
```
See [Testing](.claude/skills/testing/SKILL.md) and [Debug](https://dbhub.ai/config/debug).
## Contributors
<a href="https://github.com/bytebase/dbhub/graphs/contributors">
<img src="https://contrib.rocks/image?repo=bytebase/dbhub" />
</a>
## Star History
<a href="https://www.star-history.com/?repos=bytebase%2Fdbhub&type=date&legend=top-left">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/chart?repos=bytebase/dbhub&type=date&theme=dark&legend=top-left" />
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/chart?repos=bytebase/dbhub&type=date&legend=top-left" />
<img alt="Star History Chart" src="https://api.star-history.com/chart?repos=bytebase/dbhub&type=date&legend=top-left" />
</picture>
</a>
