Yesterday (June 1st), we launched Databox MCP, and we finished #3 Product of the Day!
This wouldn't have happened without the dedicated and highly engaged team in Databox and this community. The upvotes, the comments, the shares - and everyone who followed along and took the time to try it. You helped us validate that people genuinely want to chat with their business data from the AI tools they already use.
Most analytics tools give you a dashboard. You open it, look at it, and go back to your spreadsheet to answer the actual question.
We just changed that.
Databox MCP connects your business data to the AI tools you already use - Claude, ChatGPT, Cursor, n8n. Instead of building dashboards to get answers, you just ask. What happened to your CAC last week? Which campaign drove the most revenue? Your AI does the math using your real metrics, definitions, and historical context - and gives you an answer you can act on.
We've been thinking a lot about this moment. A stakeholder asks "how did our paid campaigns do last week?" or "are we on track for the month?" - and even with dashboards already built, getting a clean answer still takes more steps than it should.
You open the right tool. Filter the right date range. Cross-reference another source. Paste it into a Slack message. Sometimes you just end up saying "let me get back to you on that."
The data exists. The dashboards exist. But the path from question to answer still has too much friction in it.
That's the problem we set out to solve with Databox MCP - launching on Product Hunt May 28. Instead of navigating dashboards, you ask the question directly in whatever AI tool you already use - Claude, ChatGPT, n8n, Cursor - and get an answer pulled from your live data.
Databox
