Databox MCP

Key Features

• •Genie AI Analyst: Ask business performance questions in plain language and receive immediate answers grounded in your connected data. Genie can also create metrics and dashboards from a single prompt, making data exploration accessible to non-technical team members.
• •Databox MCP Integration: Connect Databox to LLMs like Claude and ChatGPT via the Model Context Protocol. This enables automated recurring summaries, updates, follow-ups, and actions based on your live business data, reducing manual reporting effort.
• •Interactive Dashboards: Visualize performance with drag-and-drop dashboards featuring 20+ visualization types and 300+ pre-built templates. Monitor KPIs and spot trends at a glance, with data from 130+ sources unified in one view.
• •Automated Reports: Create scheduled reports that combine live metrics, visualizations, and written context. Share performance summaries with stakeholders in the format they prefer, saving hours of manual reporting time weekly.
• •Metrics & KPI Builder: Standardize your key performance indicators by choosing pre-built metrics or creating custom ones using filters, dimensions, and calculations. Build SQL-backed metrics without heavy engineering support to maintain a single source of truth.
• •Datasets for Data Preparation: Transform raw row-level data into structured, analytics-ready datasets. Filter, merge, calculate, and organize data without coding, ensuring reliable foundations for dashboards, reports, and AI queries.
• •Goals & OKRs Tracking: Set measurable targets for any metric and define objectives that connect team initiatives to outcomes. Track progress in real time and keep teams aligned around the results that matter most.
• •Forecasts with Machine Learning: Use data-driven projections to predict future performance for any metric. Model best- and worst-case scenarios and understand key drivers behind future outcomes to plan with confidence.

Use Cases

• •Campaign Performance Analysis: A marketing manager asks Claude via Databox MCP, 'What is my ROAS by channel this month?' and receives an instant breakdown with comparisons to last period, enabling quick budget reallocation.
• •Automated Client Reporting: An agency uses MCP to schedule weekly performance summaries for clients, reducing reporting time by 60% and turning reports from a cost center into a revenue-generating service.
• •Underperforming Channel Detection: A paid media strategist connects ads data with first-party conversion paths in Databox, then asks ChatGPT to identify channels draining budget without driving revenue, preventing wasted ad spend.
• •Executive Dashboard Updates: An executive gets daily Slack summaries of progress against OKRs, generated automatically by an AI that pulls live data from Databox, keeping the leadership team aligned without manual updates.
• •Self-Service Data Exploration: A business analyst enables team members to query sales data in plain English through Claude, reducing dependency on the analyst for common questions and accelerating decision-making across departments.

Who is this for?

Databox MCP is designed for functional leaders (e.g., marketing, sales, product), executives, business analysts, and agency professionals who need immediate access to business performance insights without technical barriers. It serves scaling businesses of 10-500+ employees across industries like SaaS, e-commerce, and professional services. Target roles include CMOs, VPs of Sales, BI Analysts, and Agency Operations Managers who are tired of manual reporting and want to empower their teams with self-service analytics through conversational AI. The platform is used by 20,000+ companies including Toast, BambooHR, and Dentsu.