Databox MCP
Talk to your data with Databox MCP by enabling agentic analytics, automated data ingestion, and real-time conversational analytics to get proactive recommendations and instant BI answers, not just charts.
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Overview
Databox MCP is a Model Context Protocol server that connects your business data to AI assistants. Ask questions about your metrics in plain English—no SQL, no dashboard building, no data exports. Databox MCP enables AI tools like Claude, Cursor, n8n, and Gemini CLI to access and analyze your Databox data conversationally. It transforms how you interact with business metrics—instead of navigating dashboards, you simply ask questions and get instant answers. Key Benefits: - Query your data using natural language - Works with 130+ existing Databox integrations - No additional cost for Databox users - Setup in under 60 seconds
Installation
https://mcp.databox.com/mcp
Configuration
{
"mcpServers": {
"databox": {
"type": "http",
"url": "https://mcp.databox.com/mcp"
}
}
}Capabilities
- Ask natural-language questions about your data
use `ask_genie` to get calculated answers from a dataset, with optional conversation threading for follow-ups.
- Retrieve metric values over time
call `load_metric_data` to pull a specific metric for a date range, optionally broken down by a dimension or granulated by hour/day/week/month.
- Discover available metrics and data sources
use `list_metrics` and `list_data_sources` to see what’s already connected in an account before querying.
- Push custom data into Databox
create a data source and dataset with `create_data_source` and `create_dataset`, then load records via `ingest_data`.
- Inspect ingestion history
use `get_dataset_ingestions` and `get_ingestion` to review record counts and details of past data loads.
- Resolve relative dates accurately
call `get_current_datetime` to anchor phrases like “last month” before passing dates to other tools.
Tags
- cloud-infrastructure
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