neuron_studio_save

SERVERNeuron SOURCEneuron-mcp-server

Medium RISK CLASS

Category Write

Parameters 21 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-save.md

WHAT IT DOES

What neuron_studio_save does on Neuron

AI agents use neuron_studio_save 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	Yes	The ProjectDoc to save.
`name`	string	—	A title for the saved video (default 'AI video').

Parameters from the server's own tool schema.

RISK

Why neuron_studio_save is rated Medium

An AI agent can call neuron_studio_save 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_save 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_save, this is the rule to start with:

neuron_studio_save Rate-limited

neuron_studio_save 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_save": {
      "limits": [
        {
          "counter": "neuron_studio_save_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_save call is checked against it from then on.

FAQ

Questions about neuron_studio_save

What does the neuron_studio_save tool do? +

Persist a ProjectDoc and get back an openUrl. Opening it drops the video into the Studio in the user's browser, where 'Export MP4' renders CLIENT-SIDE (on their machine, no server render cost). Use this for the hybrid flow: build with neuron_studio_apply/agent, then save and hand the user the link. Use neuron_studio_render instead only for headless/unattended server renders. 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_save accept? +

neuron_studio_save accepts 2 parameters: doc, name. Required: doc. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on neuron_studio_save? +

Register the Neuron MCP server in PolicyLayer and add a rule for neuron_studio_save: 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_save? +

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

Can I rate-limit neuron_studio_save? +

Yes. Add a rate_limit block to the neuron_studio_save 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_save completely? +

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

neuron_studio_save 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.

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