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.
@MCP-Mirror
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Mirror of
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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.
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.
data://{data_id} resourcedescribe_data toolcontext://data_description resourceYes. The server interacts with a Cube REST API, so an accessible Cube instance is required.
After calling `read_data`, use the returned unique identifier to retrieve JSON data from the `data://{data_id}` resource.
It returns a description of the data available in the Cube deployment. The same information is available from the `context://data_description` resource.
The server is available on Smithery at `@isaacwasserman/mcp_cube_server`. —

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