Medium Risk

create_retexture_task

Apply new textures to a 3D model using text or image style guidance.

How to control create_retexture_task ↓

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

Medium Risk

This tool creates or modifies 3D model data (textures) based on user input (text or image guidance). It does not delete data irreversibly, execute arbitrary code, move money, or trigger uncontrolled external operations—it generates texture assets within the Meshy AI service.

From the tool's definition Tool name 'create_retexture_task' and description 'Apply new textures to a 3D model' indicates creation/modification of 3D model assets. The action is reversible—textures can be replaced or reverted.

Documented attack patterns abuse exactly the kind of access create_retexture_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 create_retexture_task:

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

create_retexture_task 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 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 create_retexture_task tool do? +

Apply new textures to a 3D model using text or image style guidance. It is categorised as a Write tool in the Meshy AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_retexture_task? +

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

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

Can I rate-limit create_retexture_task? +

Yes. Add a rate_limit block to the create_retexture_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 create_retexture_task completely? +

Set action: deny in the PolicyLayer policy for create_retexture_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 create_retexture_task? +

create_retexture_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.

Enforce policy on every Meshy AI MCP Server tool call.

Deterministic rules across all 51 Meshy AI MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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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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