Connect Databox to Claude, n8n, ChatGPT, or Cursor, so teams can ask questions, get answers in plain language, and take action automatically.
Without access to your real data, performance history, and business context, your AI tool is making an educated guess. Connect Databox to your AI tool to get analysis that matters.
Your metrics are defined, joined, and calculated inside Databox before your AI sees them, which eliminates mismatched definitions.
You are able to get visualized answers with context, analyze existing dashboards or automate workflows directly inside your AI tool.
Anyone on your team has access to real answers in plain language without using dashboards, writing code, or pinging your data analyst.
Databox MCP lets your AI tool work with your performance data, securely.
Bring data into your AI tool with MCP. Your data stays protected & access is under your control.
Ask your AI a question and Databox will do the math using your metrics and history.
Use real analysis to trigger alerts, reports, and workflows without leaving your AI tool.
No dashboards to build. No SQL to write. No waiting on the data team.
Your AI gives you answers the moment you ask.
Ask AI a simple question, and it will use your real metrics, definitions, and historical context to give you insights that are accurate, explainable, and reliable enough for everyday decisions.
Push new data directly from your AI tool into Databox to get clean, structured, and ready-to-use datasets. Then build metrics you can visualize alongside your data. No pipelines or cleanup work.
Because AI stays connected to your systems, insights can be turned into recurring summaries, updates, follow-ups, and workflows that run automatically.
Move from insights to actions, quicker.
Works with Claude, n8n, Cursor, ChatGPT and more.
Real examples of analyzing data, adding context, and automating work.
Already have a Databox account?
Add to Claude config:
{
"mcpServers": {
"databox": {
"type": "http",
"url": "https://mcp.databox.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_ACCESS_TOKEN"
}
}
}
}
Use the shortcut button: 
Or add it manually:
Cursor > Settings… > Cursor SettingsTools & Integrations > New MCP Servermcp.json:{
"mcpServers": {
"Databox": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.databox.com/mcp",
"--allow-http"
]
}
}
}
Settings > Connectors > Add custom connectorhttps://mcp.databox.com/mcpEnable ChatGPT developer mode (if not already enabled).
Add a new MCP connector with the following configuration:
https://mcp.databox.com/mcpThere are two ways to use Databox MCP with n8n:
Option 1: Using MCP Client Tool Node (Recommended for AI Agents)
https://mcp.databox.com/mcpOption 2: Direct HTTP Integration (Recommended for Data Sync)
https://mcp.databox.com/mcpFor MCP-compatible clients:
https://mcp.databox.com/mcpFree plug-and-play AI analytics skills, artifacts, and workflows that turn your metrics into board-room ready analysis. For marketing, sales, revenue ops, and more.
A Claude skill that reads live Google Ads data from Databox and writes a structured campaign report - brand vs non-brand split, impression share, budget pacing, CPA vs target, top ad groups, top keywords, and anomaly flags.
What is Databox MCP?
Databox MCP is a Model Context Protocol server that connects your AI tools (like Claude, n8n, or Cursor) to your Databox data. It lets you push data from any source and query your datasets using natural language—all through your AI assistant.
How is this different from uploading data to ChatGPT?
ChatGPT recalculates from scratch and guesses at context. MCP queries your actual Databox data and provides same definitions and results as your dashboard.
Which AI tools work with MCP?
Any MCP-compatible tool, such as Claude Web & Desktop, Gemini CLI, n8n Workflows, Cursor. New integrations are being added regularly.
Do I need to code?
No, just ask questions in plain language. Developers can use the API for advanced workflows.
Is my data safe?
Absolutely. All connections use secure authentication with API keys. Your data stays in your Databox account with the same security and governance you already trust. The AI only accesses data you explicitly grant permission to.
What can I do with Databox MCP?
A bunch of amazing stuff. Push data from any source (APIs, spreadsheets, databases), query datasets with natural language, automate reports, detect trends, analyze patterns, and integrate Databox into your AI workflows—all without building dashboards or writing SQL.
Can I automate reports?
Sure. Simply connect to n8n or Make to schedule queries, analyze results, and trigger actions automatically.
What data sources can I use?
Any of 130+ Databox integrations. Or, just push new data via CSV, API, or manual entry.
How is this different from using Databox dashboards?
Dashboards require manual setup and navigation. With MCP, your AI can access your data conversationally (including the specific metrics on your existing Databoards), return charts inline in the conversation, and answer ad-hoc questions without you ever leaving your AI tool.
Is Databox MCP included in my plan?
Databox MCP is available during our 14-day free trial and on all paid Databox plans at no additional cost. You'll need an active paid account and an API key to get started. Free plan accounts will need to upgrade to access MCP.
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