copy_keyframes

Copy keyframes from one property to another (same or different layer), with optional time offset.

SERVERAe SOURCE@synthetic-ai/ae-mcp

Medium RISK CLASS

Category Write

Parameters 93 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/synthetic-ai-ae-mcp/copy-keyframes.md

WHAT IT DOES

What copy_keyframes does on Ae

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

Parameter	Type	Required	Description
`save`	boolean	—
`compName`	string	Yes
`timeoutMs`	number	—
`sourcePath`	array	Yes	Source property path.
`targetPath`	array	—	Target property path. Defaults to sourcePath.
`timeOffset`	number	—	Time offset in seconds to apply to copied keyframes. Defaults to 0.
`projectPath`	string	—
`sourceLayer`	string	Yes
`targetLayer`	string	—	Defaults to sourceLayer.

Parameters from the server's own tool schema.

RISK

Why copy_keyframes is rated Medium

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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs copy_keyframes safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Ae, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For copy_keyframes, this is the rule to start with:

copy_keyframes Rate-limited

copy_keyframes 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "copy_keyframes": {
      "limits": [
        {
          "counter": "copy_keyframes_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Ae, apply this rule, and every copy_keyframes call is checked against it from then on.

FAQ

Questions about copy_keyframes

What does the copy_keyframes tool do? +

Copy keyframes from one property to another (same or different layer), with optional time offset. It is categorised as a Write tool in the Ae MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does copy_keyframes accept? +

copy_keyframes accepts 9 parameters: save, compName, timeoutMs, sourcePath, targetPath, timeOffset, projectPath, sourceLayer, targetLayer. Required: compName, sourcePath, sourceLayer. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on copy_keyframes? +

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

What risk level is copy_keyframes? +

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

Can I rate-limit copy_keyframes? +

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

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

copy_keyframes is provided by the Ae MCP server (@synthetic-ai/ae-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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