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Mcp Cube Server

@isaacwassermanon a year ago
5 GPL-3.0
FreeCommunity
AI Systems
MCP Server for Interacting with Cube Semantic Layers

Overview

What is Mcp Cube Server

mcp_cube_server is an MCP Server designed for interacting with Cube Semantic Layers, enabling users to access and manipulate data in a structured format.

Use cases

Use cases for mcp_cube_server include generating reports from Cube data, integrating with data visualization tools, and enabling data-driven decision-making processes.

How to use

To use mcp_cube_server, clients can send queries to the Cube REST API using the read_data tool to retrieve data in YAML format, which can then be processed or formatted as needed.

Key features

Key features of mcp_cube_server include the ability to describe available data through the describe_data tool, retrieve data in JSON format, and utilize unique identifiers for data management.

Where to use

mcp_cube_server can be used in various fields such as data analytics, business intelligence, and application development where structured data interaction is required.

Content

Snowflake Cube Server

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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.

describe_data

Describes the data available in the Cube deployment. This is an agentic version of the context://data_description resource.

Tools

No tools

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