gcp_appengine_create_app

Create an App Engine application

SERVERGCP MCP Server SOURCEahmedselimmansor-ctrl/gcp_mcp_server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ahmedselimmansor-ctrl-gcp-mcp-server/gcp-appengine-create-app.md

WHAT IT DOES

What gcp_appengine_create_app does on GCP MCP Server

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

RISK

Why gcp_appengine_create_app is rated Medium

This tool creates a new cloud application resource, which is a Write operation (reversible creation/modification). Severity is high because unauthorized app creation could lead to resource proliferation, cost increases, and potential security exposure of cloud infrastructure, though it is not inherently destructive or financial. High confidence due to explicit 'create' verb and clear description.

From the tool's definition Tool name 'create_app' and description 'Create an App Engine application' indicate resource creation. Creates a new GCP App Engine application, which is a reversible infrastructure change.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gcp_appengine_create_app safely

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

gcp_appengine_create_app Rate-limited

gcp_appengine_create_app 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": {
    "gcp_appengine_create_app": {
      "limits": [
        {
          "counter": "gcp_appengine_create_app_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 GCP MCP Server, apply this rule, and every gcp_appengine_create_app call is checked against it from then on.

FAQ

Questions about gcp_appengine_create_app

What does the gcp_appengine_create_app tool do? +

Create an App Engine application. It is categorised as a Write tool in the GCP MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on gcp_appengine_create_app? +

Register the GCP MCP Server MCP server in PolicyLayer and add a rule for gcp_appengine_create_app: 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 GCP MCP Server. Nothing to install.

What risk level is gcp_appengine_create_app? +

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

Can I rate-limit gcp_appengine_create_app? +

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

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

gcp_appengine_create_app is provided by the GCP MCP Server MCP server (ahmedselimmansor-ctrl/gcp_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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