High Risk →

cdn_prefetch_urls

Newly added resources are proactively retrieved by the CDN and stored on its cache nodes in advance. Users simply submit the resource URLs, and the CDN automatically triggers the prefetch process.

How to control cdn_prefetch_urls ↓

AI agents invoke cdn_prefetch_urls to trigger actions in Qiniu 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.

High Risk

This tool triggers an external CDN operation (prefetch) that causes the CDN infrastructure to actively fetch and cache content. It is not a simple read or write of stored data, but rather an execution of an external process/operation on the CDN network. Misuse could cause unintended caching of large volumes of content or abuse CDN prefetch quotas, hence medium severity.

From the tool's definition Newly added resources are proactively retrieved by the CDN and stored on its cache nodes in advance. Users simply submit the resource URLs, and the CDN automatically triggers the prefetch process.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "cdn_prefetch_urls": {
      "limits": [
        {
          "counter": "cdn_prefetch_urls_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

cdn_prefetch_urls 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.

  1. Create a free account and register Qiniu MCP Server — 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.
RATE-LIMIT THIS TOOL →

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Go deeper

What does the cdn_prefetch_urls tool do? +

Newly added resources are proactively retrieved by the CDN and stored on its cache nodes in advance. Users simply submit the resource URLs, and the CDN automatically triggers the prefetch process. It is categorised as a Execute tool in the Qiniu MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on cdn_prefetch_urls? +

Register the Qiniu MCP Server MCP server in PolicyLayer and add a rule for cdn_prefetch_urls: 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 Qiniu MCP Server. Nothing to install.

What risk level is cdn_prefetch_urls? +

cdn_prefetch_urls is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit cdn_prefetch_urls? +

Yes. Add a rate_limit block to the cdn_prefetch_urls 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 cdn_prefetch_urls completely? +

Set action: deny in the PolicyLayer policy for cdn_prefetch_urls. 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 cdn_prefetch_urls? +

cdn_prefetch_urls is provided by the Qiniu MCP Server MCP server (qiniu/qiniu-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Qiniu MCP Server tool call.

Deterministic rules across all 24 Qiniu MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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24 Qiniu MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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