create_ai_mirror

SERVERtdmcp — TouchDesigner MCP server SOURCE@dpantani/tdmcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-pantani-tdmcp/create-ai-mirror.md

WHAT IT DOES

What create_ai_mirror does on tdmcp — TouchDesigner MCP server

AI agents invoke create_ai_mirror to trigger actions in tdmcp — TouchDesigner MCP server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why create_ai_mirror is rated High

This tool orchestrates a complex multi-step operation: it configures camera/video inputs, wires live AI image-to-image diffusion (StreamDiffusion), sets up external outputs (Syphon/Spout/NDI), and creates a dynamic control panel with expressions binding to parameters. It triggers and coordinates multiple external operations and system-level integrations in TouchDesigner, making it Execute.

From the tool's definition wires the canonical 2026 AI-mirror installation in one MCP call — camera (or synthetic / existing TOP) → StreamDiffusion (img2img live, delegated to drive_streamdiffusion) → Syphon/Spout/NDI/internal output → a prompt+strength+cfg control panel whose sliders…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_ai_mirror safely

PolicyLayer is an MCP gateway: it sits between your AI agents and tdmcp — TouchDesigner MCP server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_ai_mirror, this is the rule to start with:

create_ai_mirror Rate-limited

create_ai_mirror stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_ai_mirror": {
      "limits": [
        {
          "counter": "create_ai_mirror_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect tdmcp — TouchDesigner MCP server, apply this rule, and every create_ai_mirror call is checked against it from then on.

FAQ

Questions about create_ai_mirror

What does the create_ai_mirror tool do? +

Layer 1 COMBO: wires the canonical 2026 AI-mirror installation in one MCP call — camera (or synthetic / existing TOP) → StreamDiffusion (img2img live, delegated to drive_streamdiffusion) → Syphon/Spout/NDI/internal output → a prompt+strength+cfg control panel whose sliders and textDATs drive SD pars via .expr expressions. Panel only binds pars present in drive_streamdiffusion. It is categorised as a Execute tool in the tdmcp — TouchDesigner MCP server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on create_ai_mirror? +

Register the tdmcp — TouchDesigner MCP server MCP server in PolicyLayer and add a rule for create_ai_mirror: 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 tdmcp — TouchDesigner MCP server. Nothing to install.

What risk level is create_ai_mirror? +

create_ai_mirror is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit create_ai_mirror? +

Yes. Add a rate_limit block to the create_ai_mirror 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_ai_mirror completely? +

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

create_ai_mirror is provided by the tdmcp — TouchDesigner MCP server MCP server (@dpantani/tdmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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