neuron_studio_apply

SERVERNeuron SOURCEneuron-mcp-server

Medium RISK CLASS

Category Write

Parameters 61 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-conquext-neuron/neuron-studio-apply.md

WHAT IT DOES

What neuron_studio_apply does on Neuron

AI agents use neuron_studio_apply to create or update resources in Neuron, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Neuron environment.

Parameter	Type	Required	Description
`doc`	object	—	The ProjectDoc to edit (omit to start fresh). Pass back the `doc` from the previous apply to keep going.
`calls`	array	Yes	Ordered tool calls to apply.
`timeMs`	number	—	Scene-local playhead (ms) for time-based ops (default 0).
`platform`	string	—	Canvas size when starting fresh (default instagram-story).
`activeIndex`	integer	—	Which scene subsequent layer calls target (default 0).
`durationSeconds`	number	—	Length when starting fresh (default 5s).

Parameters from the server's own tool schema.

RISK

Why neuron_studio_apply is rated Medium

An AI agent can call neuron_studio_apply faster than any human can review: one bad instruction and it creates or modifies resources in Neuron by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs neuron_studio_apply safely

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

neuron_studio_apply Rate-limited

neuron_studio_apply 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": {
    "neuron_studio_apply": {
      "limits": [
        {
          "counter": "neuron_studio_apply_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 Neuron, apply this rule, and every neuron_studio_apply call is checked against it from then on.

FAQ

Questions about neuron_studio_apply

What does the neuron_studio_apply tool do? +

Apply a batch of Studio tool calls to a video doc and get back the updated doc plus a fresh scene description — YOU (this agent) are the brain, so this needs NO OpenRouter/AI key. Loop: call neuron_studio_catalog once, then neuron_studio_apply with { doc, calls:[{tool,args}] }, read the returned scene, apply more, and finally neuron_studio_render. Omit doc (with an optional platform) to start a fresh video. It is categorised as a Write tool in the Neuron MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does neuron_studio_apply accept? +

neuron_studio_apply accepts 6 parameters: doc, calls, timeMs, platform, activeIndex, durationSeconds. Required: calls. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on neuron_studio_apply? +

Register the Neuron MCP server in PolicyLayer and add a rule for neuron_studio_apply: 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 Neuron. Nothing to install.

What risk level is neuron_studio_apply? +

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

Can I rate-limit neuron_studio_apply? +

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

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

neuron_studio_apply is provided by the Neuron MCP server (neuron-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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Govern customer-ops agents →Argument validation →Scoped token →