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save_project

Save the current or provided After Effects project in place.

SERVERAe SOURCE@synthetic-ai/ae-mcp
Medium RISK CLASS
Category Write
Parameters 20 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/save-project.md

What save_project does on Ae

AI agents use 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.

ParameterTypeRequiredDescription
timeoutMs number Process timeout in milliseconds. Defaults to 120000.
projectPath string Optional absolute path to an .aep file to open first.

Parameters from the server's own tool schema.

Why save_project is rated Medium

An AI agent can call save_project 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.

Questions about save_project

What does the save_project tool do? +

Save the current or provided After Effects project in place. 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 save_project accept? +

save_project accepts 2 parameters: timeoutMs, projectPath. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on save_project? +

Register the Ae MCP server in PolicyLayer and add a rule for 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.

What risk level is save_project? +

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

Can I rate-limit save_project? +

Yes. Add a rate_limit block to the 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.

How do I block save_project completely? +

Set action: deny in the PolicyLayer policy for 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.

What MCP server provides save_project? +

save_project 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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