Stream updates for a rigging task until it completes.
AI agents call stream_rigging_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 monitors and streams status updates for an existing rigging task. It only reads/polls task progress without creating, modifying, or deleting any data. It is a passive observer of an ongoing process.
From the tool's definition Stream updates for a rigging task until it completes
Documented attack patterns abuse exactly the kind of access stream_rigging_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_rigging_task:
{
"version": "1",
"default": "deny",
"tools": {
"stream_rigging_task": {}
}
}stream_rigging_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 rigging task until it completes. 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_rigging_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_rigging_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_rigging_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_rigging_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_rigging_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.