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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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Cloud PlatformsOfficial
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Databox MCP

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

1 starsUpdated Aug 30, 2026
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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

Capabilities

  • ask_genie

    Ask natural-language questions about your data — use `ask_genie` to get calculated answers from a dataset, with optional conversation threading for follow-ups.

  • load_metric_data

    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.

  • list_metrics

    Discover available metrics and data sources — use `list_metrics` and `list_data_sources` to see what’s already connected in an account before querying.

  • create_data_source

    Push custom data into Databox — create a data source and dataset with `create_data_source` and `create_dataset`, then load records via `ingest_data`.

  • get_dataset_ingestions

    Inspect ingestion history — use `get_dataset_ingestions` and `get_ingestion` to review record counts and details of past data loads.

  • get_current_datetime

    Resolve relative dates accurately — call `get_current_datetime` to anchor phrases like “last month” before passing dates to other tools.

Installation

https://mcp.databox.com/mcp

Configuration

{
  "mcpServers": {
    "databox-mcp": {
      "url": "https://databox.com/mcp"
    }
  }
}
Add to Cursor

Paste into ~/.cursor/mcp.json or .cursor/mcp.json

Tags

  • cloud-infrastructure

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