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Dbx

Query databases through DBX connections from AI agents using an MCP-compatible server.

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Install Dbx

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "dbx": {
      "command": "npx",
      "args": [
        "-y",
        "@dbx-app/plugin-cli"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Install not yet sandbox-tested— we haven't run this command through our automated sandbox yet. Not a red flag; we're working through the catalog.

Overview

dbx MCP server lets AI agents query databases through connections configured in DBX. DBX supports more than 100 databases and is available as a desktop application, Docker deployment, and CLI, alongside its MCP server. Reach for dbx when an agent needs database access through an existing DBX connection setup rather than a separately configured database client.

Use cases

  • Query connected databases from an AI agent
  • Reuse DBX connection profiles for MCP database access
  • Deploy database access through Docker
  • Run database queries from a CLI-based environment

Key features

  • MCP database querying
  • DBX-configured database connections
  • Support for more than 100 databases
  • Desktop, Docker, and CLI distributions
  • Built-in AI assistant

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

17/17 checks healthy over the last 47d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 11d ago via OSV.dev · @dbx-app/plugin-cli (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars27kStargazers on the source repository.
npm downloads42kPackage downloads in the last 30 days.
Last commitTodayMost recent push to the default branch.
Directory activity8 viewsConfig copies, upvotes, and views on AllMCPs.

How Dbx works

What dbx does

dbx MCP server connects AI agents to databases through connection profiles configured in DBX. It exposes database querying through the Model Context Protocol, allowing an MCP-compatible agent to request database information without embedding a separate database client in the agent application.

DBX is a lightweight database manager with support for more than 100 databases. Its distribution options include a desktop application, Docker, and a command-line interface. The same product also includes a built-in AI assistant and an MCP server, making the MCP interface one part of a broader database management tool.

How it works

The agent uses MCP to interact with DBX, while DBX supplies the database connections used for those requests. Connection details are configured in DBX rather than described as individual settings in the agent configuration. After the relevant connection is available in DBX, an AI agent can use the server to query the associated database.

This arrangement is useful when database access should be organized around DBX connections and made available to an MCP-compatible AI client. It also provides a way to use the same database-management environment through its desktop, Docker, or CLI forms while exposing an MCP endpoint for agents.

Setup and configuration

Choose the DBX distribution that matches the deployment environment: desktop, Docker, or CLI. Configure the database connections in DBX, then make the DBX MCP server available to the AI client that will issue database requests.

The connection configuration is the central setup step. The server relies on connections defined in DBX, so the databases an agent can query depend on the connections made available there. DBX is presented as a compact distribution, with the project describing the package as 25 MB while supporting more than 100 databases.

Tools and capabilities

  • Query databases through MCP.
  • Use database connections configured in DBX.
  • Work with DBX’s broad database support, covering more than 100 databases.
  • Run DBX through desktop, Docker, or CLI distributions.
  • Use DBX alongside its built-in AI assistant.

Limitations and notes

The MCP interface is centered on querying databases through DBX-configured connections. Database access is therefore tied to the connections configured in the DBX environment used by the server. DBX is available in several forms, but the appropriate distribution depends on how the MCP server will be deployed.

Read the full README View source on GitHub

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Frequently Asked Questions about Dbx

dbx is an MCP server that connects AI agents to databases through connections configured in DBX. Its main capability is database querying over Model Context Protocol, using DBX as the connection manager. DBX supports more than 100 databases and is available through desktop, Docker, and CLI distributions.

Configure the database connections in DBX, then make the dbx MCP server available to the AI client. Agents use the connections defined in DBX when they issue database queries through MCP.

dbx supports more than 100 databases. The available databases are accessed through connections configured in DBX, which can be used by AI agents through the MCP server.

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