create_llm_chain
Stand up a prompt → response LLM chain inside TouchDesigner as a self-contained baseCOMP.
This record as markdown: /tools/io-github-pantani-tdmcp/create-llm-chain.md
What create_llm_chain does on tdmcp — TouchDesigner MCP server
AI agents invoke create_llm_chain 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 create_llm_chain is rated High
This tool instantiates an executable LLM chain inside TouchDesigner, which involves creating active network components that process prompts and generate responses. This goes beyond simple Write (creating inert data) — it deploys a running inference pipeline.
From the tool's definition 'Stand up a prompt → response LLM chain inside TouchDesigner as a self-contained baseCOMP' — this creates and runs an LLM inference chain as a live component within a visual programming environment
Attacks that exploit this kind of access
The rule that runs create_llm_chain 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_llm_chain, this is the rule to start with:
create_llm_chain 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 create_llm_chain call is checked against it from then on.
Questions about create_llm_chain
Stand up a prompt → response LLM chain inside TouchDesigner as a self-contained baseCOMP. 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 create_llm_chain: 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.
create_llm_chain 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 create_llm_chain 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 create_llm_chain. 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.
create_llm_chain 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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