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, ...
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What apply_video_effect does on MCP Kling
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.
Why apply_video_effect is rated Medium
This tool creates or modifies media assets (images into animated videos) in a reversible manner. It does not execute arbitrary code or shell commands, does not delete or overwrite existing data irreversibly, and does not move money.
From the tool's definition Tool applies animation effects to images to create videos, which are new creative outputs being generated and stored.
Attacks that exploit this kind of access
The rule that runs apply_video_effect safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Kling, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For apply_video_effect, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Kling, apply this rule, and every apply_video_effect call is checked against it from then on.
Questions about 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, 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.
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.
apply_video_effect 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 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.
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.
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.
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