Databox MCP Server

@databox

Basic information

About Databox MCP Server

The Databox MCP server empowers your AI tools to talk to your data, enabling agentic analytics, automated data ingestion, and real-time conversational analytics. It transforms Databox into an intelligent backend for your LLMs, allowing tools like ChatGPT, Claude and Cursor to que

#analytics#agentic-analytics#conversational-analytics#databox-mcp#headless-bi#bi-analytics#marketing-analytics

Databox MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "databox": {
      "command": "npx",
      "args": [
        "-y",
        "@databox/mcp-server"
      ],
      "env": {
        "DATABOX_API_TOKEN": "your-api-token"
      }
    }
  }
}

Databox MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Databox MCP?

Databox MCP enables AI agents to query live business metrics, analyze performance, and generate insights using natural language. It integrates with Databox’s analytics platform, which connects 100+ data sources. This server is built for founders, marketers, and analysts who want faster access to data answers.

How to use Databox MCP?

Connect your Databox account using your API token (found at app.databox.com/account/profile). Once connected, ask your AI tool questions about your business data—such as marketing performance or revenue trends—without building dashboards or writing queries.

Key features of Databox MCP

Query live metrics from 100+ integrations (Google Analytics, HubSpot, Stripe, and more)
Analyze trends, anomalies, and correlations across data sources
Generate reports and insights through natural language prompts
Access KPIs and dashboards without leaving your AI tool
Ingest and push custom data into Databox

Use cases of Databox MCP

Marketing performance analysis across channels
Revenue and sales reporting for founders and operators
Cross-platform data comparison (e.g. ad spend vs. pipeline vs. revenue)
Automated weekly or monthly reporting through AI prompts

Frequently asked questions

What is required to set up Databox MCP?

You need a Databox account and an API token. Get your token at app.databox.com/account/profile.

Which data sources does Databox MCP support?

Databox connects to 100+ integrations including Google Analytics, HubSpot, Stripe, Facebook Ads, Shopify, and more.

Can I query real-time data?

Yes, Databox MCP queries live data from your connected sources, so insights are always up to date.

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