Medium Risk

cloud_create_query_endpoint_config

cloud_create_query_endpoint_config

How to control cloud_create_query_endpoint_config ↓

What cloud_create_query_endpoint_config does on MCP ClickHouse

AI agents use cloud_create_query_endpoint_config to create or update resources in MCP ClickHouse — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP ClickHouse environment.

Medium Risk

Why cloud_create_query_endpoint_config needs a policy

The 'create' action modifies cloud infrastructure by establishing a new query endpoint configuration. This is a reversible Write operation (as opposed to Destructive deletion). Severity is high because misconfigured query endpoints could expose database access controls or enable unintended access patterns.

From the tool's definition Tool name 'cloud_create_query_endpoint_config' indicates creation of a configuration resource. The 'create' verb places it in the Write category (reversible modification).

Documented attack patterns abuse exactly the kind of access cloud_create_query_endpoint_config gives an agent:

How to control cloud_create_query_endpoint_config

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP ClickHouse, and nothing reaches the server without passing your rules. This is the rule we recommend for cloud_create_query_endpoint_config:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "cloud_create_query_endpoint_config": {
      "limits": [
        {
          "counter": "cloud_create_query_endpoint_config_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

cloud_create_query_endpoint_config stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register MCP ClickHouse — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about cloud_create_query_endpoint_config

What does the cloud_create_query_endpoint_config tool do? +

cloud_create_query_endpoint_config. It is categorised as a Write tool in the MCP ClickHouse MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on cloud_create_query_endpoint_config? +

Register the MCP ClickHouse MCP server in PolicyLayer and add a rule for cloud_create_query_endpoint_config: 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 MCP ClickHouse. Nothing to install.

What risk level is cloud_create_query_endpoint_config? +

cloud_create_query_endpoint_config is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit cloud_create_query_endpoint_config? +

Yes. Add a rate_limit block to the cloud_create_query_endpoint_config 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.

How do I block cloud_create_query_endpoint_config completely? +

Set action: deny in the PolicyLayer policy for cloud_create_query_endpoint_config. 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.

What MCP server provides cloud_create_query_endpoint_config? +

cloud_create_query_endpoint_config is provided by the MCP ClickHouse MCP server (oualib/chmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP ClickHouse tool call.

Start from MCP ClickHouse, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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