AI Analytics Skills Marketplace for Databox MCP

A skill is a single file you run inside an AI client like Claude — through the Databox MCP connection — to turn your Databox data into a specific report on demand. A workflow is a scheduled automation that runs through n8n and delivers that report on a recurring basis without you triggering it. Agents, which handle broader multi-step analysis, are coming soon.

Yes — every product is free to download, with no marketplace-side billing and no per-run cost. Products run on your own Databox account, and the free 14-day trial covers all of them.

Ideally, yes. Products are built to run through the Databox MCP connection, reading your live metrics straight from your Databox account — that's what keeps the output accurate. You can technically run a skill against data you've exported and pasted in by hand, but you lose the context layer: your real metric definitions, reporting logic, and standardized numbers. That's the difference between an answer you can trust and one built on the AI's assumptions. And if you don't have an account, a data source, or MCP set up yet, the skill guides you through it.

No problem — the skill walks you through setup. If a data source, the Databox MCP connection, or even your Databox account isn't ready yet, the product guides you through connecting it before it runs. Most integrations take a few minutes to authorize, and the product page lists exactly which sources it needs.

Usually within minutes. If you're already set up, a skill runs through the Databox MCP connection and returns its output fast — often under 15 minutes including a first-time connection and onboarding. Time scales with how many data sources the product analyzes, but there's no coding or installation either way.

Skills run in Claude through the Databox MCP connection, and workflows run in n8n — both work today. Soon you'll also be able to run skills directly inside Databox AI Analyst, with ChatGPT, Gemini, and other MCP clients following. Because everything runs through MCP, products keep working as more tools are added.

MCP stands for Model Context Protocol — an open standard that lets an AI tool connect directly to an outside data source instead of guessing or relying on what you paste in. Databox MCP is that connection for your metrics: the bridge between your live Databox data and any AI that speaks MCP — Claude, Cursor, soon ChatGPT and Gemini. You authorize it once, and from then on any skill you run reads your real data straight from your Databox account — every workspace, no exports, no copy-paste, no scraping.

No — the products are built for all users, not engineers, with no coding or setup scripts. You connect your data sources once in Databox, then run the product from your AI tool, and each listing includes step-by-step setup.

You don't have to — products read your own metric definitions and reporting logic from Databox, so the output already reflects how your business measures things. You can also feed the skill feedback as it runs to refine the output, and because each product is an editable file, you can adapt and upgrade your own version over time.

Yes — agencies can run a product against each client's connected Databox data through MCP. It's the same workflow per client, so you can reuse one product across your whole roster.

The Databox Skills Marketplace is for anyone who wants clear, fast insight from their data and confident answers — no waiting on someone to pull a report, no dashboards left spinning. It's for founders, marketers, agencies, and RevOps or data teams who want to manage performance deliberately, not react to it after the fact. Products span marketing, paid ads, SEO, social, ecommerce, and revenue reporting.

Yes — you can submit a skill or analytics product you've built or request one that doesn't exist yet. Submissions go through a Databox quality review, then the team builds the listing and publishes it for you.