We just launched Databox MCP - and it's live on the leaderboard today.
https://www.producthunt.com/products/databox?launch=databox-mcp-3
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.
No dashboards to build. No SQL to write. No waiting on the data team.
A few things I'm curious to hear from this community: What's the first question you'd ask your business data if your AI could actually see it?
We're in the comments all day - questions, feedback, and pushback all welcome.
Replies
SellerClaw
@zigapotocnik Hi,
Wishing you good luck with your MCP launch.
Basically the questions the user may ask the MCP depends upon the role in a company.
Executives focus on P&L metrics like gross revenue, net revenue, ebitda and net profit mostly.
CPOs track different ones, CMOs another and etc. I'm pretty sure you've already discovered it all)
I believe a key feature would be to offer a ready-to-use set of metrics for each role with flexible settings to alter the metrics taking into the account the nuances of each workflow. And easy one-tome set up with Cowork to get daily / weekly / monthly summaries.
It's valuable to ask AI agent and get an immediate reply without SQL / excel spreadsheet. But I suppose to get repeated actions would be essential to retain the users.
Best,
Gleb
Databox
@tolstov_gleb great points - role-based metric sets is something we think about a lot. Databox already has 300+ pre-built templates covering most of those personas (CMO, exec, growth), so the data layer is ready. The repeat actions piece is exactly where automations and scheduled AI reports come in - that's a core part of where we're taking this. Appreciate the thoughtful breakdown!
The framing here is spot on! dashboards answer the question you thought to ask, not the question you actually have. The MCP approach flips that completely.
First question I'd ask: Which acquisition channel this quarter had the best 30-day retention, not just conversion? That's the one that always requires 3 tools and a spreadsheet to answer properly.
Congrats on the launch, @zigapotocnik what's the latency like when querying against larger metric histories?
Databox
@riya_pariyar that acquisition + 30-day retention question is a perfect example - exactly the kind of thing that takes forever manually but is one prompt away with MCP. On latency: for typical metric queries it's a few seconds. Larger historical pulls can take a bit longer depending on the data source and date range, but nothing that breaks the workflow. What tools are you currently stitching together for that retention analysis?