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Dbhub

Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLit

Rating

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Price

Free

Access token required

Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

!NOTE] Brought to you by [Bytebase, open-source database DevSecOps platform.
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 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

Don't lose this

Three weeks from now, you'll want Dbhub again. Will you remember where to find it?

Save it to your library and the next time you need Dbhub, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

This plugs directly into your AI and gives it new abilities it didn't have before. Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLit. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

2

Your data stays between you and your AI — nothing is shared with us or anyone else.

What's New

Version 1.0.06 days ago

Imported from GitHub

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