Retrieves the list of available cubes, including their measures, dimensions, and segments.
AI agents call list_cubes to retrieve information from Cube Js MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs metadata discovery by listing available cubes and their schema components (measures, dimensions, segments). It retrieves information without modifying data, executing code, deleting resources, or affecting financial systems. The 'Retrieves' verb and read-only nature classify it as Read category with low severity since enumeration of available cubes poses minimal risk even if misused by an AI agent.
From the tool's definition Tool name 'list_cubes' and description 'Retrieves the list of available cubes' indicate a query/retrieval operation with no data modification or side effects.
Documented attack patterns abuse exactly the kind of access list_cubes gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Cube Js MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_cubes:
{
"version": "1",
"default": "deny",
"tools": {
"list_cubes": {}
}
}list_cubes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieves the list of available cubes, including their measures, dimensions, and segments. It is categorised as a Read tool in the Cube Js MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Cube Js MCP Server MCP server in PolicyLayer and add a rule for list_cubes: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Cube Js MCP Server. Nothing to install.
list_cubes is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_cubes rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for list_cubes. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
list_cubes is provided by the Cube Js MCP Server MCP server (zsembek/cube.js-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Cube Js MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 Cube Js MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.