Apply an effect to a layer in After Effects
AI agents use apply-effect to create or update resources in After Effects MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your After Effects MCP Server environment.
This tool modifies a layer by applying an effect to it. This is a reversible write operation — effects can typically be removed. The blast radius is medium since it affects creative project data but doesn't delete anything or execute arbitrary code.
From the tool's definition Apply an effect to a layer in After Effects
Attacks that exploit this kind of access
Apply an effect to a layer in After Effects. It is categorised as a Write tool in the After Effects MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the After Effects MCP Server MCP server in PolicyLayer and add a rule for apply-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 After Effects MCP Server. Nothing to install.
apply-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-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-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-effect is provided by the After Effects MCP Server MCP server (rtx1025189518-source/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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