Not analyzing it. Not acting on it. Just pulling the numbers together so you can have something to look at.
Open GA4. Screenshot the traffic. Switch to Google Ads. Check the spend. Pull last week from LinkedIn. Export a CSV. Paste it into Claude. Wait for the analysis. Realize the date range is wrong. Export again.
By the time you're done, you've spent an hour doing something that should have been waiting in your inbox.
The frustrating part: the data exists. It's just never in the right place at the right time. So every report starts with the same manual assembly ritual - and every AI analysis starts with an upload instead of an answer.
Databox MCP connects your business data to Claude, ChatGPT, Cursor, and n8n. Ask about revenue, campaigns, or pipeline in plain language and get answers grounded in your real metrics and business context.
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.
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.
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.
Genie is an AI analyst built into Databox. Ask questions about your business performance and get instant insights from your data, so your team can quickly understand what’s driving results and take action.
Custom Integrations lets you connect virtually any API to Databox without writing code. Turn API responses into structured datasets and analyze them alongside your other sources to get a complete view of performance.
We just launched Custom Integrations - and it's live on the leaderboard today. https://www.producthunt.com/prod...
The problem it solves: your data is out there, but it's not in Databox. You submit an integration request, it goes into the backlog, and you wait. Sometimes for months. Sometimes it never comes.
Custom Integrations flips that. Connect any JSON API yourself - OAuth2, pagination, dynamic date handling all covered. Turn the response into a structured dataset and start analyzing it with Genie or any MCP-compatible AI tool. No code, no engineering ticket, no waiting.
We've heard this from a lot of Databox users over the years. There's a tool you rely on, a data source that matters to your reporting, and it's just not in our integration library. You submit a request, we add it to the backlog, and then... you wait. Sometimes for months. Sometimes it never comes.
That's been one of the most consistent frustrations we've heard - and honestly, one we've felt ourselves. Our native library covers 130+ integrations, but the long tail of tools people actually use is endless. No matter how fast we build, we can't keep up with every API out there.
