neuron_studio_generate_video
Text → video via Replicate (async). Returns { id, status } — poll neuron_studio_generate_video_status until 'succeeded' to get videoUrl, then re-host + add_video. Needs a genvideo model version configured.
This record as markdown: /tools/io-github-conquext-neuron/neuron-studio-generate-video.md
What neuron_studio_generate_video does on Neuron
AI agents use neuron_studio_generate_video 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 |
|---|---|---|---|
prompt | string | Yes | What the clip should show. |
imageUrl | string | — | Optional starting image (image→video). |
Parameters from the server's own tool schema.
Why neuron_studio_generate_video is rated Medium
An AI agent can call neuron_studio_generate_video 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
The rule that runs neuron_studio_generate_video 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_generate_video, this is the rule to start with:
neuron_studio_generate_video 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 Neuron, apply this rule, and every neuron_studio_generate_video call is checked against it from then on.
Questions about neuron_studio_generate_video
Text → video via Replicate (async). Returns { id, status } — poll neuron_studio_generate_video_status until 'succeeded' to get videoUrl, then re-host + add_video. Needs a genvideo model version configured. 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.
neuron_studio_generate_video accepts 2 parameters: prompt, imageUrl. Required: prompt. The full parameter table on this page comes from the server's own tool schema.
Register the Neuron MCP server in PolicyLayer and add a rule for neuron_studio_generate_video: 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.
neuron_studio_generate_video 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 neuron_studio_generate_video 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 neuron_studio_generate_video. 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.
neuron_studio_generate_video 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.
More on Neuron, and thousands of servers like it.
This server
Across the catalogue