Give your AI Analyst context to explain performance and act
Connect your AI Analyst to the tools your business runs on. It pulls context from your CRM or support desk, so every answer reflects what's happening in your business, and it can act on what it finds. Choose from 10+ connectors or add any MCP server.
I'm Pete from Databox. Today we're launching MCP connectors for Genie, our AI Analyst.
Genie analyzes your live metrics and tells you what changed. But a metric alone rarely explains what's going on.
Trial signups dip, and the reason is a pricing change your team shipped two weeks ago. Traffic jumps, and behind it is an influencer mentioning you on reddit that none of your analytics can track. The numbers alone can't tell you why something happened.
The deal context in your CRM, the tickets in your support desk, the tasks in your project tool and the Slack messages where your team discussed that unexpected Reddit mention. That's the explanation, and it's spread across the tools where work and conversations happen.
That context is what separates a generic report from a useful one. Any AI can look at a chart and tell you a number fell 12%. Knowing that two big deals slipped because you didn't anticipate a more extensive legal review, support tickets spiked after a feature release, and the reasons your ad strategy changed mid-month is what makes a report useful and actionable. Until now, getting that kind of answer meant someone gathering the context by hand, every time.
MCP connectors give Genie that context. Connect your tools, and Genie pulls from them during analysis, so its answers reflect what's actually happening in your business.
In addition to automating reporting, you can also use Databox's new MCP connectors to execute actions in other tools, based on your analysis. Want to shut down an ad campaign once it stops performing? No problem. Just write a skill in Databox that instructs your ad platform to shut down a campaign once frequency hits 5 and conversion rate drops below 1%. Want to update content on a website page after it stops getting search traffic? Easy. Want to create a task for your sales team if they have too many deals open without a next step? Even easier.
How it works:
One-click connectors: HubSpot, Slack, Notion, Linear, Mixpanel, Semrush, Klaviyo, Ahrefs, and more, with 10+ available at launch
Custom connectors: add any MCP server by URL, with OAuth, API key, or bearer token support
Permissions you control: set every tool to always allow, needs approval, or blocked, so Genie only acts where you've said it can
Skills & Routines: Write skills that pull data from specific integrations and context from specific MCP servers, automate actions based on the analysis. Run it completely autonomously using Routines.
If there's a tool you want Genie connected to, tell us below.
Thanks for checking it out 🙏
About MCP Connectors by Databox on Product Hunt
“Give your AI Analyst context to explain performance and act”
MCP Connectors by Databox launched on Product Hunt on September 28th, 2026 and earned 457 upvotes and 84 comments, earning #1 Product of the Day. Connect your AI Analyst to the tools your business runs on. It pulls context from your CRM or support desk, so every answer reflects what's happening in your business, and it can act on what it finds. Choose from 10+ connectors or add any MCP server.
On the analytics side, MCP Connectors by Databox competes within Analytics, SaaS and Artificial Intelligence — topics that collectively have 698.4k followers on Product Hunt. The dashboard above tracks how MCP Connectors by Databox performed against the three products that launched closest to it on the same day.
Who hunted MCP Connectors by Databox?
MCP Connectors by Databox was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
MCP Connectors by Databox has received 8 reviews on Product Hunt with an average rating of 4.75/5. Read all reviews on Product Hunt.
For a complete overview of MCP Connectors by Databox including community comment highlights and product details, visit the product overview.
Rohan Chaubey
Hi Product Hunt! 👋
I'm Pete from Databox. Today we're launching MCP connectors for Genie, our AI Analyst.
Genie analyzes your live metrics and tells you what changed. But a metric alone rarely explains what's going on.
Trial signups dip, and the reason is a pricing change your team shipped two weeks ago. Traffic jumps, and behind it is an influencer mentioning you on reddit that none of your analytics can track. The numbers alone can't tell you why something happened.
The deal context in your CRM, the tickets in your support desk, the tasks in your project tool and the Slack messages where your team discussed that unexpected Reddit mention. That's the explanation, and it's spread across the tools where work and conversations happen.
That context is what separates a generic report from a useful one. Any AI can look at a chart and tell you a number fell 12%. Knowing that two big deals slipped because you didn't anticipate a more extensive legal review, support tickets spiked after a feature release, and the reasons your ad strategy changed mid-month is what makes a report useful and actionable. Until now, getting that kind of answer meant someone gathering the context by hand, every time.
MCP connectors give Genie that context. Connect your tools, and Genie pulls from them during analysis, so its answers reflect what's actually happening in your business.
In addition to automating reporting, you can also use Databox's new MCP connectors to execute actions in other tools, based on your analysis. Want to shut down an ad campaign once it stops performing? No problem. Just write a skill in Databox that instructs your ad platform to shut down a campaign once frequency hits 5 and conversion rate drops below 1%. Want to update content on a website page after it stops getting search traffic? Easy. Want to create a task for your sales team if they have too many deals open without a next step? Even easier.
How it works:
One-click connectors: HubSpot, Slack, Notion, Linear, Mixpanel, Semrush, Klaviyo, Ahrefs, and more, with 10+ available at launch
Custom connectors: add any MCP server by URL, with OAuth, API key, or bearer token support
Permissions you control: set every tool to always allow, needs approval, or blocked, so Genie only acts where you've said it can
Skills & Routines: Write skills that pull data from specific integrations and context from specific MCP servers, automate actions based on the analysis. Run it completely autonomously using Routines.
MCP connectors are live today: https://databox.com/
If there's a tool you want Genie connected to, tell us below.
Thanks for checking it out 🙏