AI agents call stream_remesh_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.
This tool retrieves or queries the status/progress of an existing remesh task. It has no side effects—it does not create, modify, delete, or execute any operations. It merely returns information about a task that was previously created, making it a Read operation with low blast radius if misused by an AI agent.
From the tool's definition The tool 'stream_remesh_task' streams updates for a remesh task. The verb 'stream' and 'updates' indicate retrieval and monitoring of task status/progress with no modification or execution of operations.
Documented attack patterns abuse exactly the kind of access stream_remesh_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_remesh_task:
{
"version": "1",
"default": "deny",
"tools": {
"stream_remesh_task": {}
}
}stream_remesh_task is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Stream updates for a remesh task. It is categorised as a Read tool in the Meshy AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Meshy AI MCP Server MCP server in PolicyLayer and add a rule for stream_remesh_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.
stream_remesh_task is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the stream_remesh_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.
Set action: deny in the PolicyLayer policy for stream_remesh_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.
stream_remesh_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.
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.