Systems | Development | Analytics | API | Testing

Setting up MCP for AI-powered data analysis sounds technical, it isn't. Rick Kranz breaks down how fast you can actually get from zero to asking Claude real questions about your business data. Here are 4 skills that he has built and are free to run on your own data.

A chart shows you what happened. It doesn't tell you why, or what to do next. Rick Kranz explains why the real value of connecting AI to your data through MCP isn't the visualization, it's the trend-spotting and analysis that happens after.

Rick Kranz has built over 100 AI automations for his community and clients — he has no reason to defend Databox. But when he tried to run his AI analysis without the Databox MCP, it just stopped working. In this episode, Rick and Pete break down exactly why: the semantic layer, the metric definitions, and the standardized math that make an AI's answer trustworthy instead of a guess. If you've ever wondered why connecting five random MCP servers to Claude doesn't give you the same results as a purpose-built data layer, this is the episode.

Ask Genie a question. Get a report back, ready to share, with real data already in it. This is Genie Artifacts, Databox’s AI analyst turning a prompt into a finished document. Watch it build a report from scratch, convert that report into a slide deck with a single follow-up prompt, then get shared as a public link anyone can open, no Databox login needed. What you’ll see: Genie pulls from 130+ connected data sources, so every report and deck is built on numbers your team already trusts. No manual formatting, no rebuilding for a different format, no dashboard for the recipient to log into.

The Databox Skills Marketplace is a free library of AI analytics skills and workflows - download them, connect your Databox data, and get structured reports inside Claude in seconds. How it works: connect Databox MCP to Claude, run a skill with a single prompt, and Claude writes the analysis from your live data. No exports. No copy-paste. No manual setup. What's in the marketplace: All free. All built on Databox MCP.

What if you did not have to open a dashboard, read the charts, and figure out what the numbers mean? What if you could just ask a question and get the answer in plain English?

Agencies hit the same wall every time they try to grow: who is going to actually run the campaigns, and how do you keep visibility across every client and every channel when you do? Ashish Chaturvedi, data analyst of Atidiv, walks through how Atidiv and Databox solve both sides of the problem. Atidiv handles campaign execution across Google Ads, Meta, LinkedIn, TikTok, and email. Databox gives you the visibility layer: one interactive view where you can see spend, revenue, and return across every channel without chasing updates in Slack, email, or spreadsheets.

You have the data. You just can't get to the answer. That changes now. Databox is an AI-powered analytics platform built to give teams clear, trusted answers, fast. No waiting. No spreadsheet tabs. No "I'll loop in Mark.".

Business analytics has changed. Now, it answers back. Meet Databox AI, AI-powered analytics for teams that need answers now. Ask your data anything with Genie, your AI analyst. Don’t just see numbers—understand what changed with AI Performance Summaries. Bring your data into your favorite AI tools with Databox MCP.

Most marketing teams track traffic and leads, but rarely connect the two to understand whether their content is attracting the right audience. In this walkthrough, Rick Kranz, Director of the AI Marketing Lab, demonstrates a powerful weekly growth system that cross-references website traffic, Google Search Console data, and CRM leads to identify which content truly drives ideal customer profile (ICP) engagement.