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Snowflake Cube Server MCP Server

@isaacwasserman

基本信息

分类

数据库

许可证

GPL-3.0

传输方式

stdio

作者

isaacwasserman

关于 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 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

Snowflake Cube Server MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

1

What data does Snowflake Cube Server access?

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

2

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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