Snowflake Cube Server MCP Server

@MCP-Mirror

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基本信息

分类

数据库

许可证

GPL-3.0 license

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stdio

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MCP-Mirror

关于 Snowflake Cube Server MCP Server

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Snowflake Cube Server MCP Server 配置

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代码仓库

Snowflake Cube Server MCP Server 工具

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概览

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

常见问题

Does this server require a Cube deployment to be running?

Yes. The server interacts with a Cube REST API, so an accessible Cube instance is required.

How can I get the query results in JSON instead of YAML?

After calling `read_data`, use the returned unique identifier to retrieve JSON data from the `data://{data_id}` resource.

What does `describe_data` return?

It returns a description of the data available in the Cube deployment. The same information is available from the `context://data_description` resource.