Snowflake Cube Server logo

Snowflake Cube Server

by isaacwasserman

The Snowflake Cube Server is an MCP (Meta-Control Protocol) server designed to interact with Cube semantic layers. It provides resources and tools for querying and describing data within a Cube deployment.

View on GitHub

Last updated: N/A

What is Snowflake Cube Server?

This server is an MCP server that interfaces with Cube.dev's semantic layer, allowing agents to query and understand data available through Cube.

How to use Snowflake Cube Server?

The server exposes resources like context://data_description for data descriptions and data://{data_id} for data retrieval in JSON format. Tools like read_data and describe_data are available for querying the Cube REST API and describing the data, respectively.

Key features of Snowflake Cube Server

  • Data querying via Cube REST API

  • Data description retrieval

  • JSON data formatting

  • Unique data identifiers

  • Agentic data access

Use cases of Snowflake Cube Server

  • Integrating Cube data into AI agents

  • Automated data analysis

  • Building data-driven applications

  • Providing data context to large language models

  • Simplifying data access for non-technical users

FAQ from Snowflake Cube Server

What is the purpose of the context://data_description resource?

It provides a description of the data available in the Cube deployment.

How do I retrieve data in JSON format?

Use the read_data tool to query the Cube REST API and then access the data://{data_id} resource using the identifier returned by read_data.

What is the difference between describe_data and context://data_description?

describe_data is an agentic tool that provides the same information as context://data_description, but in a format suitable for agent interaction.

What is MCP?

MCP stands for Meta-Control Protocol, a framework for building and managing AI agents and their interactions with data and tools.

Can I use this server with other data sources besides Snowflake?

This server is designed to work with Cube semantic layers, which can connect to various data sources, including Snowflake. The server itself interacts with Cube, not directly with the underlying data source.