Snowflake Cube Server MCP Server

@isaacwasserman

Repository

Basic information

About Snowflake Cube Server MCP Server

MCP Server for Interacting with Cube Semantic Layers

#mcp-cube-server#cube-semantic-layers#data-interaction

Snowflake Cube Server MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Snowflake Cube Server MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Snowflake Cube Server?

An MCP server that enables interaction with Cube semantic layers, providing tools and resources for querying and exploring Cube deployments.

How to use Snowflake Cube Server?

Install the server (e.g., via Smithery) and configure it with your Cube deployment endpoint. Use the provided tools read_data and describe_data to query data and retrieve metadata; results can also be accessed as JSON resources.

Key features of Snowflake Cube Server

Query Cube REST API via read_data tool.
Retrieve JSON data through data://{data_id} resource.
Describe available data using describe_data tool.
Access deployment description via context://data_description.
Supports YAML and JSON output formats.

Use cases of Snowflake Cube Server

Semantic layer querying from MCP-compatible AI agents.
Exploring Cube data models and their dimensions/measures.
Fetching and processing data for analytics within chat interfaces.
Automating data access workflows using MCP resources.

Frequently asked questions

What data does Snowflake Cube Server access?

It accesses data exposed through a Cube semantic layer deployment, queried via the Cube REST API.

How are query results returned?

Results are returned in YAML format with a unique ID; a JSON representation can be retrieved using the `data://{data_id}` resource.

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