Low Risk

retrieve_multi_image_to_3d_task

Retrieve the status and result of a multi-image-to-3d task.

How to control retrieve_multi_image_to_3d_task ↓

AI agents call retrieve_multi_image_to_3d_task to retrieve information from Meshy AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

The tool retrieves pre-computed task results and status information. It has no side effects, does not create, modify, delete, or execute any operations. It is a simple read operation querying the state of an existing 3D generation task. Severity is low because retrieval of task metadata poses minimal security risk even if misused by an agent.

From the tool's definition Tool name contains 'retrieve' and description states 'Retrieve the status and result' — this is a query operation that fetches task status and results without modifying or executing any operations.

Documented attack patterns abuse exactly the kind of access retrieve_multi_image_to_3d_task gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Meshy AI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for retrieve_multi_image_to_3d_task:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "retrieve_multi_image_to_3d_task": {}
  }
}

retrieve_multi_image_to_3d_task is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Meshy AI 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.
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Go deeper

What does the retrieve_multi_image_to_3d_task tool do? +

Retrieve the status and result of a multi-image-to-3d task. It is categorised as a Read tool in the Meshy AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on retrieve_multi_image_to_3d_task? +

Register the Meshy AI MCP Server MCP server in PolicyLayer and add a rule for retrieve_multi_image_to_3d_task: 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 Meshy AI MCP Server. Nothing to install.

What risk level is retrieve_multi_image_to_3d_task? +

retrieve_multi_image_to_3d_task is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit retrieve_multi_image_to_3d_task? +

Yes. Add a rate_limit block to the retrieve_multi_image_to_3d_task 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 retrieve_multi_image_to_3d_task completely? +

Set action: deny in the PolicyLayer policy for retrieve_multi_image_to_3d_task. 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 retrieve_multi_image_to_3d_task? +

retrieve_multi_image_to_3d_task is provided by the Meshy AI MCP Server MCP server (pasie15/meshy-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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51 Meshy AI MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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