drive_streamdiffusion
Wraps the community StreamDiffusionTD.tox (by dotsimulate) into a one-shot Layer 1 setup: locate the .tox via candidate-path discovery, drop it into a fresh baseCOMP, wire a camera/source TOP into its input, set the prompt/strength/cfg/seed custom pars, and optionally re-broadcast the output via ...
This record as markdown: /tools/io-github-pantani-tdmcp/drive-streamdiffusion.md
What drive_streamdiffusion does on tdmcp — TouchDesigner MCP server
AI agents invoke drive_streamdiffusion 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.
Why drive_streamdiffusion is rated High
This tool orchestrates a complex multi-step external operation: discovering and loading a .tox file, creating and wiring TouchDesigner components, configuring AI diffusion parameters, and optionally broadcasting output via streaming protocols. It triggers external operations (StreamDiffusion AI inference, Syphon/Spout/NDI output) whose effects depend on arguments.
From the tool's definition Wraps the community StreamDiffusionTD.tox into a one-shot Layer 1 setup: locate the .tox via candidate-path discovery, drop it into a fresh baseCOMP, wire a camera/source TOP into its input, set the prompt/strength/cfg/seed custom pars, and optionally…
Attacks that exploit this kind of access
The rule that runs drive_streamdiffusion 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 drive_streamdiffusion, this is the rule to start with:
drive_streamdiffusion 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.
The button opens the PolicyLayer dashboard: create your workspace, connect tdmcp — TouchDesigner MCP server, apply this rule, and every drive_streamdiffusion call is checked against it from then on.
Questions about drive_streamdiffusion
Wraps the community StreamDiffusionTD.tox (by dotsimulate) into a one-shot Layer 1 setup: locate the .tox via candidate-path discovery, drop it into a fresh baseCOMP, wire a camera/source TOP into its input, set the prompt/strength/cfg/seed custom pars, and optionally re-broadcast the output via Syphon/Spout or NDI. Returns a friendly error when the .tox is not installed. The result envelope includes validated_pars so downstream tools (create_ai_mirror) know which SD pars to bind a control panel to. 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.
Register the tdmcp — TouchDesigner MCP server MCP server in PolicyLayer and add a rule for drive_streamdiffusion: 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.
drive_streamdiffusion is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the drive_streamdiffusion 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 drive_streamdiffusion. 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.
drive_streamdiffusion 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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