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Enable AI to query and analyze Cube.js semantic-layer data multidimensionally.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@mob999/cube_mcp" yet — see the docs or source repo.
After connecting to the Cube.js data source, summarize monthly sales for the past 12 months, break them down by region, and identify the fastest-growing and most-declining regions.
Returns monthly and regional sales trends with key change insights.
Using the Cube.js semantic layer, query next-month retention for new users over the last 6 months, analyze it by acquisition channel and device type, and summarize the best-performing combinations.
Outputs multidimensional retention results and summarizes high-retention channel and device patterns.
Inspect the order-related metrics and dimensions in the Cube.js semantic layer, explain how total orders, average order value, and refund rate are calculated, and list the main available filter dimensions.
Provides metric definitions, calculation logic, and a list of queryable dimensions.
Turn GraphQL schemas into MCP tools for natural-language API access.
Lets AI assistants connect to and interact with the Qubic cryptocurrency network.
Connect AI to MySQL for natural-language SQL generation and query execution.
Let AI clients query, explore, and manage SQLite databases directly.
Let AI query multiple SQL databases read-only and export results.
A persistent DuckDB MCP server lets AI assistants query CSV, Parquet, and cloud data in natural language.