Snowflake Cube Server MCP Server

What is Snowflake Cube Server?

This is an MCP server that enables AI agents to interact with a Cube semantic layer. It provides tools to query and describe the data exposed by a Cube deployment.

How to use Snowflake Cube Server?

Install via Smithery or configure in your MCP client. The server exposes two tools – read_data to query the Cube REST API and describe_data to describe available data – plus two resource URIs, context://data_description and data://{data_id}, for fetching descriptions and JSON-formatted query results.

Key features of Snowflake Cube Server

• Queries Cube REST API and returns data as YAML
• Returns a unique identifier for each query result
• Provides JSON representation via data://{data_id} resource
• Describes available data via describe_data tool
• Describes available data via context://data_description resource

Use cases of Snowflake Cube Server

• Asking an AI agent to generate a Cube query and return results
• Programmatically inspecting the schema and dimensions of a Cube deployment
• Chaining queries where results need to be reused or reformatted in JSON