ae_save_project
Save the After Effects project file with optional backup and cleanup
This record as markdown: /tools/ae/ae-save-project.md
What ae_save_project does on Ae
AI agents use ae_save_project 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.
Why ae_save_project is rated Medium
This tool creates or modifies data (the After Effects project file) in a reversible manner. While saving is necessary for workflow, an AI agent invoking this unexpectedly could overwrite unsaved work or corrupt an in-progress project.
From the tool's definition Tool name 'ae_save_project' and description 'Save the After Effects project file with optional backup and cleanup' indicate persistent modification of the project file.
Attacks that exploit this kind of access
The rule that runs ae_save_project 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 ae_save_project, this is the rule to start with:
ae_save_project 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 Ae, apply this rule, and every ae_save_project call is checked against it from then on.
Questions about ae_save_project
Save the After Effects project file with optional backup and cleanup. 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.
Register the Ae MCP server in PolicyLayer and add a rule for ae_save_project: 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.
ae_save_project 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 ae_save_project 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 ae_save_project. 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.
ae_save_project is provided by the Ae MCP server (ae-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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