Low Risk

stream_multi_image_to_3d_task

Stream updates for a multi-image-to-3d task.

How to control stream_multi_image_to_3d_task ↓

AI agents call stream_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

This tool retrieves task status information in a streaming fashion. It does not create, modify, delete, or execute any operations—it only observes and reports on existing task state. This is a Read operation with minimal blast radius (worst case: an AI agent wastes API quota polling tasks). No data is created, modified, or deleted.

From the tool's definition Tool name 'stream_multi_image_to_3d_task' and description 'Stream updates for a multi-image-to-3d task' indicate this retrieves or queries the status/progress of an existing task. 'Stream updates' is a polling/monitoring operation with no side effects.

Documented attack patterns abuse exactly the kind of access stream_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 stream_multi_image_to_3d_task:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "stream_multi_image_to_3d_task": {}
  }
}

stream_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 stream_multi_image_to_3d_task tool do? +

Stream updates for 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 stream_multi_image_to_3d_task? +

Register the Meshy AI MCP Server MCP server in PolicyLayer and add a rule for stream_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 stream_multi_image_to_3d_task? +

stream_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 stream_multi_image_to_3d_task? +

Yes. Add a rate_limit block to the stream_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 stream_multi_image_to_3d_task completely? +

Set action: deny in the PolicyLayer policy for stream_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 stream_multi_image_to_3d_task? +

stream_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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