Databox 的 MCP 连接器让 AI 分析师接入 CRM、客服等业务系统，拉取真实业务数据并执行动作，面向需要智能业绩分析与归因的团队。
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PH 用户
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 launchCustom connectors: add any MCP server by URL, with OAuth, API key, or bearer token supportPermissions you control: set every tool to always allow, needs approval, or blocked, so Genie only acts where you've said it canSkills & 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 🙏
PH 用户
Hey PH, I am Jakob, one of the engineers who worked on MCP connectors.
The idea is simple: Genie already knows your number, and now it can check the tools where the whole story behind them lives, eg. your CRM, Slack, or ad account. It can also act there on your behalf, like updating a deal or posting a message.
Since that means AI touching real tools, we put a lot of care into permissions. Every single action can be set to always allow, needs approval, or blocked. Anything that can change something asks you first by default, and Genie waits for your OK before running it.
And if any tool you use isn't in our predefined catalog, you can still connect it yourself. Many apps now offer MCP connection link, so you just paste that in and Genie picks up that functionality. Because that link could point anywhere, we check it carefully before connecting.
Happy to answer any technical questions :) Which tool is the first you would trust Genie to use?
PH 用户
Boy is there a lot of scenarios one can cover in Databox nowdays!
We already import the data from our internal database into Databox, to analyze scheduled data preparations - errors, trends,.. to get insights like error rate etc.. But of course that's never enough to find the reason for these errors. cc @uros_trstenjak
Looking forward to connecting more internal tools via those MCPs (logs, resources,..) so agent will get to the bottom if things before we start our maintenance shifts ;)
PH 用户
Routines and skills are nice on their own, they give the power to anyone using them. But pairing them with MCPs inside Genie, AI Analyst? Sweet :) Having MCPs to provide more context for a report (e.g. a CRM note) so I can better understand why the numbers changed is super helpful.
Now all three parts come together into one system that can help me get better results and insights. Can't wait to also get the agents in the mix, I've heard they're coming soon.
PH 用户
Do you trust AI tools to explain your business data or do you still perfer checking the numbers yourself
PH 用户
@zigapotocnik 通过这个 MCP 让 AI 访问你的 CRM，是工具集里一个很棒的补充。祝发布顺利。
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 launchCustom connectors: add any MCP server by URL, with OAuth, API key, or bearer token supportPermissions you control: set every tool to always allow, needs approval, or blocked, so Genie only acts where you've said it canSkills & 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 🙏
The idea is simple: Genie already knows your number, and now it can check the tools where the whole story behind them lives, eg. your CRM, Slack, or ad account. It can also act there on your behalf, like updating a deal or posting a message.
Since that means AI touching real tools, we put a lot of care into permissions. Every single action can be set to always allow, needs approval, or blocked. Anything that can change something asks you first by default, and Genie waits for your OK before running it.
And if any tool you use isn't in our predefined catalog, you can still connect it yourself. Many apps now offer MCP connection link, so you just paste that in and Genie picks up that functionality. Because that link could point anywhere, we check it carefully before connecting.
Happy to answer any technical questions :) Which tool is the first you would trust Genie to use?
We already import the data from our internal database into Databox, to analyze scheduled data preparations - errors, trends,.. to get insights like error rate etc.. But of course that's never enough to find the reason for these errors. cc @uros_trstenjak
Looking forward to connecting more internal tools via those MCPs (logs, resources,..) so agent will get to the bottom if things before we start our maintenance shifts ;)
Now all three parts come together into one system that can help me get better results and insights. Can't wait to also get the agents in the mix, I've heard they're coming soon.