save_project_as

Save the current or provided project to an explicit .aep path.

SERVERAe SOURCE@synthetic-ai/ae-mcp

Medium RISK CLASS

Category Write

Parameters 31 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-as.md

WHAT IT DOES

What save_project_as does on Ae

AI agents use save_project_as 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
`saveAs`	string	Yes	Absolute .aep output path.
`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.

RISK

Why save_project_as is rated Medium

An AI agent can call save_project_as 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 save_project_as 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 save_project_as, this is the rule to start with:

save_project_as Rate-limited

save_project_as 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": {
    "save_project_as": {
      "limits": [
        {
          "counter": "save_project_as_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 save_project_as call is checked against it from then on.

FAQ

Questions about save_project_as

What does the save_project_as tool do? +

Save the current or provided project to an explicit .aep path. 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_as accept? +

save_project_as accepts 3 parameters: saveAs, timeoutMs, projectPath. Required: saveAs. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on save_project_as? +

Register the Ae MCP server in PolicyLayer and add a rule for save_project_as: 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_as? +

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

Can I rate-limit save_project_as? +

Yes. Add a rate_limit block to the save_project_as 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_as completely? +

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

save_project_as 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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