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How to use DBX: what you can do with it

What is DBX? DBX is a 25 MB cross-platform database client for 100+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB and ClickHouse, with consoles for Kafka, RabbitMQ and MQTT. It has a built-in AI SQL assistant that works with Claude, OpenAI or local models via Ollama, schema tools such as ER diagrams and schema diff, and a separate MCP server so coding agents can query the connections you set up in DBX.

How do I use it? Install DBX and set up your connections in the app; then run npx @dbx-app/mcp-server once to check it starts; add the DBX entry to your .mcp.json with command npx and args -y @dbx-app/mcp-server. Full steps below.

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What people are building with DBX

Real builds shared on X, Hacker News, Reddit, DEV and GitHub, summed up by Deduped from each post and its links; each card links to the original post. See what people are building with other repos

Quick start with DBX

  1. Check you have what it needs: macOS, Windows or Linux desktop, Docker for team access, or the web version; An AI provider for the SQL assistant: Claude, OpenAI or a local model via Ollama; Node.js (npx) for the MCP server.
  2. Open t8y2/dbx on GitHub and read the README and license.
  3. Install DBX and set up your connections in the app
  4. Run npx @dbx-app/mcp-server once to check it starts
  5. Add the DBX entry to your .mcp.json with command npx and args -y @dbx-app/mcp-server
  6. In DBX Settings, MCP, set the connection allowlist and choose Read only

These steps come from our top use case, Let Claude Code or Cursor query your databases, read only, which also has a copy-paste agent prompt.

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About this repo

  • Who it is forDevelopers and data people who want a light database client with AI help and agent access, instead of DBeaver or TablePlus.
  • Why it is hot28k stars, talked about in 3 AI sources we track
  • LanguageRust
  • Sourcegithub.com/t8y2/dbx ยท Back to Hot repos

Requirements

  • macOS, Windows or Linux desktop, Docker for team access, or the web version
  • An AI provider for the SQL assistant: Claude, OpenAI or a local model via Ollama
  • Node.js (npx) for the MCP server

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Questions about DBX

What is DBX?

DBX is a 25 MB cross-platform database client for 100+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB and ClickHouse, with consoles for Kafka, RabbitMQ and MQTT. It has a built-in AI SQL assistant that works with Claude, OpenAI or local models via Ollama, schema tools such as ER diagrams and schema diff, and a separate MCP server so coding agents can query the connections you set up in DBX. It is an open-source project on GitHub: https://github.com/t8y2/dbx.

How do I use DBX?

Install DBX and set up your connections in the app; then run npx @dbx-app/mcp-server once to check it starts; add the DBX entry to your .mcp.json with command npx and args -y @dbx-app/mcp-server. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is DBX for?

Developers and data people who want a light database client with AI help and agent access, instead of DBeaver or TablePlus.

What can I do with DBX?

3 use cases so far, for example: Let Claude Code or Cursor query your databases, read only; Write, explain and fix SQL in plain language with the DBX AI assistant; Compare schemas and move data between databases. Each has steps and a copy-paste agent prompt.

What do I need to run DBX?

macOS, Windows or Linux desktop, Docker for team access, or the web version; An AI provider for the SQL assistant: Claude, OpenAI or a local model via Ollama; Node.js (npx) for the MCP server.

What are alternatives to DBX?

Other hot AI repos in Data and analytics: Unlimited OCR, Helix Foundry, Brandpose, Edit Drift, Image Pipes.

Is DBX safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.