Executes a query against the Cube.js API using POST method (recommended for complex queries).
AI agents invoke execute_query_post to trigger actions in Cube Js MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool runs queries against a Cube.js analytics system. While the queries themselves are data retrieval focused (Read-like), the 'execute_query' pattern with POST method and support for complex queries means an AI could craft malicious queries (e.g., expensive aggregations, denial-of-service queries, or extraction of unauthorized data at scale).
From the tool's definition Tool name 'execute_query_post' and description states it 'Executes a query against the Cube.js API'. The verb 'Executes' combined with ability to run 'complex queries' against an analytics platform indicates code/query execution capability.
Documented attack patterns abuse exactly the kind of access execute_query_post 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 execute_query_post:
{
"version": "1",
"default": "deny",
"tools": {
"execute_query_post": {
"limits": [
{
"counter": "execute_query_post_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} execute_query_post stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Executes a query against the Cube.js API using POST method (recommended for complex queries). It is categorised as a Execute tool in the Cube Js MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cube Js MCP Server MCP server in PolicyLayer and add a rule for execute_query_post: 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.
execute_query_post is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the execute_query_post 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 execute_query_post. 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.
execute_query_post 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.