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Databox MCP

Databox MCP connects governed business metrics to MCP-compatible AI tools so teams can query data, receive charts, ingest new data, and automate reporting workflows.

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Databox MCP connected AI analytics workflow

Product overview

What is Databox MCP?

Databox MCP is a Model Context Protocol server that connects Databox performance data to AI tools such as Claude, ChatGPT, Cursor, and n8n. It lets users ask questions in natural language and receive answers based on metrics, definitions, history, and business context already managed in Databox.

The server can query datasets, analyze dashboards, return inline visualizations, push structured data into Databox, and trigger reports or workflows. Databox states that metric definitions and calculations are resolved before the AI receives them, helping teams use consistent governed numbers rather than asking a model to infer business context.

How to Use Databox MCP

  1. Create or sign in to a Databox account and connect the required business data sources.
  2. Add the Databox MCP endpoint to a supported client such as Claude, ChatGPT, Cursor, or n8n.
  3. Complete OAuth or bearer-token authentication and grant access to the intended Databox data.
  4. Ask questions, analyze dashboards, ingest data, or configure recurring reports and alerts from the AI client.

Core Features

  • Natural-language analytics: Answers questions about metrics, trends, behavior, and campaign performance.
  • Governed metric context: Uses definitions, joins, calculations, and historical data managed in Databox.
  • Inline visualizations: Returns charts and contextual explanations within the AI conversation.
  • Data ingestion: Pushes data from APIs, spreadsheets, databases, or CSV files into Databox.
  • Workflow automation: Supports scheduled analysis, reports, alerts, summaries, and n8n workflows.
  • Broad client support: Works with Claude, ChatGPT, Cursor, n8n, and other MCP-compatible tools.

Use Cases

  • Executive performance analysis: Answers ad hoc questions about revenue and key business metrics.
  • Marketing analytics: Examines campaign results, trends, and anomalies using connected data.
  • Automated reporting: Generates scheduled summaries and reports with business context.
  • Data preparation: Cleans and standardizes uploaded data before creating metrics.
  • Operational alerts: Triggers actions when monitored metrics change.

Pricing

Databox MCP is available during the 14-day free trial and is included with all paid Databox plans at no additional cost. Free-plan accounts must upgrade to access MCP.

Frequently Asked Questions

Does Databox MCP require coding?

No for conversational use. Developers can use the API for advanced workflows.

Which data sources are supported?

The page lists more than 130 Databox integrations and also supports CSV, API, database, and manual data ingestion.

How is access controlled?

Connections use authenticated access, and the AI can only reach data for which the user grants permission.

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