copilot_vision
Capture a TOP as a preview image and ask the configured multimodal LLM a question about it. Numeric-loopback endpoints need no extra opt-in; remote, client-managed, or unknown backends require
This record as markdown: /tools/io-github-pantani-tdmcp/copilot-vision.md
What copilot_vision does on tdmcp — TouchDesigner MCP server
AI agents use copilot_vision 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.
Why copilot_vision is rated Medium
An AI agent can call copilot_vision faster than any human can review: one bad instruction and it creates or modifies resources in tdmcp — TouchDesigner MCP server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs copilot_vision 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 copilot_vision, this is the rule to start with:
copilot_vision 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.
The button opens the PolicyLayer dashboard: create your workspace, connect tdmcp — TouchDesigner MCP server, apply this rule, and every copilot_vision call is checked against it from then on.
Questions about copilot_vision
Capture a TOP as a preview image and ask the configured multimodal LLM a question about it. Numeric-loopback endpoints need no extra opt-in; remote, client-managed, or unknown backends require. 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.
Register the tdmcp — TouchDesigner MCP server MCP server in PolicyLayer and add a rule for copilot_vision: 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.
copilot_vision is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the copilot_vision 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 copilot_vision. 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.
copilot_vision 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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