Overview / Description
Databox MCP is a Model Context Protocol server that gives AI assistants direct access to your Databox data. Instead of logging into a dashboard or exporting CSVs, you ask questions like "What was our MRR last month?" or "Which ad campaigns drove the most pipeline this quarter?" and get answers pulled from your actual connected data sources. It works with Claude, ChatGPT, Cursor, and n8n, making it useful for analysts, marketers, and revenue ops teams who already live in those tools. The integration keeps answers grounded in real metrics rather than hallucinated estimates, which is the core value: conversational access to business data without leaving your AI workflow.
Used For
Analysts, marketers, and revenue-ops teams use Databox MCP to query their business metrics conversationally from inside Claude, ChatGPT, Cursor, or n8n.
Pricing
Pricing not published
Pricing for the Databox MCP was not published on the tool's site at the time of listing.
Pros & Cons
Pros
• Query connected Databox metrics in plain language — ask "What was our MRR last month?" and get answers pulled from real data • Works across Claude, ChatGPT, Cursor, and n8n, so it fits whichever AI workflow your team already uses • Answers stay grounded in your actual connected data sources instead of hallucinated estimates • Skips the dashboard-login and CSV-export steps for ad-hoc metric questions
Cons
• Requires an existing Databox account with connected data sources to be useful • Value is limited to metrics you already pipe into Databox — it won't reach un-integrated systems • As an MCP server, it assumes an AI client that supports the Model Context Protocol
Questions & Answers
Alternatives
Julius AI, Zenlytic, Powerdrill AI
Reviews & Ratings
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