render_output

SERVERtdmcp — TouchDesigner MCP server SOURCE@dpantani/tdmcp

Medium RISK CLASS

Category Write

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/render-output.md

WHAT IT DOES

What render_output does on tdmcp — TouchDesigner MCP server

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

RISK

Why render_output is rated Medium

The tool creates image files on disk at specified absolute paths. This is a Write operation—it creates new data (image files) reversibly (files can be deleted or overwritten). It does not execute arbitrary code, delete existing data irreversibly, or move money.

From the tool's definition Save a TOP to an image file at its native, full resolution (PNG/JPG/EXR/TIFF by extension)...The file is written by TouchDesigner on the TD machine; pass an absolute path.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs render_output 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 render_output, this is the rule to start with:

render_output Rate-limited

render_output 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "render_output": {
      "limits": [
        {
          "counter": "render_output_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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 render_output call is checked against it from then on.

FAQ

Questions about render_output

What does the render_output tool do? +

Save a TOP to an image file at its native, full resolution (PNG/JPG/EXR/TIFF by extension) — for exporting a finished frame, unlike get_preview which only transfers a small inline thumbnail. The file is written by TouchDesigner on the TD machine; pass an absolute path. It is categorised as a Write tool in the tdmcp — TouchDesigner 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 render_output? +

Register the tdmcp — TouchDesigner MCP server MCP server in PolicyLayer and add a rule for render_output: 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 render_output? +

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

Can I rate-limit render_output? +

Yes. Add a rate_limit block to the render_output 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 render_output completely? +

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

render_output 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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