Medium Risk

apply_video_effect

Apply pre-defined animation effects to static images using Kling AI. Create emotionally expressive videos from portraits with effects like hugging, kissing, or playful animations. Dual-character effects (hug, kiss, heart_gesture) require exactly 2 images. Single-image effects (squish, expansion, ...

How to control apply_video_effect ↓

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

Medium Risk

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

Documented attack patterns abuse exactly the kind of access apply_video_effect gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Kling, and nothing reaches the server without passing your rules. This is the rule we recommend for apply_video_effect:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "apply_video_effect": {
      "limits": [
        {
          "counter": "apply_video_effect_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

apply_video_effect 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.

  1. Create a free account and register MCP Kling — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the apply_video_effect tool do? +

Apply pre-defined animation effects to static images using Kling AI. Create emotionally expressive videos from portraits with effects like hugging, kissing, or playful animations. Dual-character effects (hug, kiss, heart_gesture) require exactly 2 images. Single-image effects (squish, expansion, fuzzyfuzzy, bloombloom, dizzydizzy) require 1 image. Perfect for social media content and creative storytelling. It is categorised as a Write tool in the MCP Kling MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on apply_video_effect? +

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

What risk level is apply_video_effect? +

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

Can I rate-limit apply_video_effect? +

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

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

apply_video_effect is provided by the MCP Kling MCP server (199-mcp/mcp-kling). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Kling tool call.

Deterministic rules across all 12 MCP Kling tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

12 MCP Kling tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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