Medium Risk

luma_generate_video

Generate AI video from a text prompt using Luma Dream Machine. This is the simplest way to create video - just describe what you want and Luma will generate a high-quality AI video. Use this when: - You want to create a video from a text description - You don't have referenc...

Accepts URL/endpoint input (callback_url)

Part of the Mcp Luma MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

acedatacloud-mcp/mcp-luma Write Risk 2/5

AI agents use luma_generate_video to create or modify resources in Mcp Luma. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call luma_generate_video repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Mcp Luma.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

acedatacloud-mcp-mcp-luma.yaml
tools:
  luma_generate_video:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Mcp Luma policy for all 8 tools.

Tool Name luma_generate_video
Category Write
MCP Server Mcp Luma MCP Server
Risk Level Medium

Agents calling write-class tools like luma_generate_video have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the luma_generate_video tool do? +

Generate AI video from a text prompt using Luma Dream Machine. This is the simplest way to create video - just describe what you want and Luma will generate a high-quality AI video. Use this when: - You want to create a video from a text description - You don't have reference images - You want quick video generation For using reference images (start/end frames), use luma_generate_video_from_image instead. Returns: Task ID and generated video information including URLs, dimensions, and thumbnail. . It is categorised as a Write tool in the Mcp Luma MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on luma_generate_video? +

Add a rule in your Intercept YAML policy under the tools section for luma_generate_video. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Mcp Luma MCP server.

What risk level is luma_generate_video? +

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

Can I rate-limit luma_generate_video? +

Yes. Add a rate_limit block to the luma_generate_video rule in your Intercept 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 luma_generate_video completely? +

Set action: deny in the Intercept policy for luma_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.

What MCP server provides luma_generate_video? +

luma_generate_video is provided by the Mcp Luma MCP server (acedatacloud-mcp/mcp-luma). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Mcp Luma

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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