What is the MCP Server used for?

The MCP Server is used for interacting with Cube Semantic Layers, allowing AI models to access and process external data sources efficiently.

How does the MCP Server enhance AI data processing?

By providing a standardized protocol for data interaction, the MCP Server enables seamless data querying and retrieval, enhancing AI models' ability to process data.

What are Cube Semantic Layers?

Cube Semantic Layers are a framework for organizing and describing data, facilitating easier access and interaction for AI models.

Can the MCP Server be used for real-time data interaction?

Yes, the MCP Server supports real-time data interaction, allowing businesses to access and process data dynamically for immediate insights.

How does the MCP Server integrate with the UBOS Platform?

The MCP Server is a component of the UBOS Platform, which provides tools for full-stack AI agent development, enabling seamless integration with enterprise data systems.

Snowflake Cube Server – README | MCP Marketplace

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Snowflake Cube Server

Name: Snowflake Cube Server
Author: isaacwasserman

MCP Server for Interacting with Cube Semantic Layers

Resources

`context://data_description`

Contains a description of the data available in the Cube deployment. This is an application controlled version of the describe_data tool.

`data://{data_id}`

Contains the data returned by a read_data call in JSON format. This resource is meant for MCP clients that wish to format or otherwise process the output of tool calls. See read_data for more.

Tools

`read_data`

Accepts a query to the Cube REST API and returns the data in YAML along with a unique identifier for the data returned. This identifier can be used to a retrieve a JSON representation of the data from the resource data://{data_id}. See data://{data_id} for more.