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Databox MCP Server

@databox

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

databox

提交者

Žiga Potočnik

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Databox MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

1

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.

2

Which data sources does Databox MCP support?

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

3

Can I query real-time data?

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

评论

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