Databox MCP

Databox MCP

by Databox
Docs
Databases & Data
analyticsbusiness-datadashboards

Summary

Chat with your live Databox metrics and dashboards from Claude, Cursor, ChatGPT, and n8n.

Features

  • Query live Databox metrics and dashboards in natural language
  • Read-only access — no manual CSV exports or SQL
  • Works with Claude, Cursor, ChatGPT, and n8n

Installation

Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.

Any MCP-compatible agent

Most agents (Claude, Cursor, Windsurf, VS Code, and more) read a standard mcpServers configuration.

  1. Open your agent's MCP configuration file.
  2. Merge the snippet below into it, filling in the environment variables with your own values.
  3. Restart the agent — the "Databox MCP" tools will be available.
{
  "mcpServers": {
    "databox-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.databox.com/mcp"
      ],
      "env": {
        "DATABOX_ACCESS_TOKEN": "your-databox-access-token"
      }
    }
  }
}

Description

Databox MCP exposes your connected business metrics and dashboards to AI tools over the Model Context Protocol, so you can ask questions like "how did paid campaigns do last week?" in natural language instead of exporting CSVs or writing SQL. It's a remote, read-only HTTP MCP server (https://mcp.databox.com/mcp) authenticated with a bearer access token generated in your Databox account, and is included at no extra cost on Databox's paid plans and 14-day trial.

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