Generate a video from an image
AI agents invoke generateVideoFromImage to trigger actions in MCP Video Generation with Veo2. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers an external API call to Google's Veo2 service to run a video generation pipeline. It is not a simple write (storing user data) but an execution of an external computational process whose outputs depend on the input image.
From the tool's definition 'Generate a video from an image' — triggers an external AI video generation operation via Google's Veo2 API, producing a new artifact through an external compute process
Documented attack patterns abuse exactly the kind of access generateVideoFromImage gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Video Generation with Veo2, and nothing reaches the server without passing your rules. This is the rule we recommend for generateVideoFromImage:
{
"version": "1",
"default": "deny",
"tools": {
"generateVideoFromImage": {
"limits": [
{
"counter": "generatevideofromimage_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}generateVideoFromImage stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Generate a video from an image. It is categorised as a Execute tool in the MCP Video Generation with Veo2 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Video Generation with Veo2 MCP server in PolicyLayer and add a rule for generateVideoFromImage: 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 MCP Video Generation with Veo2. Nothing to install.
generateVideoFromImage is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the generateVideoFromImage 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 generateVideoFromImage. 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.
generateVideoFromImage is provided by the MCP Video Generation with Veo2 MCP server (mario-andreschak/mcp-veo2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Video Generation with Veo2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
7 MCP Video Generation with Veo2 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.