apply_change

Execute an approved queued change. The change must have status

SERVERElementify MCP SOURCEvamerli/elementify-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/vamerli-elementify-mcp/apply-change.md

WHAT IT DOES

What apply_change does on Elementify MCP

AI agents invoke apply_change to trigger actions in Elementify MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why apply_change is rated High

The tool executes approved changes against WordPress/Elementor templates. While it applies a pre-approved queued change (suggesting some guard-rail), the act of executing modifications to templates is an Execute-category action.

From the tool's definition 'Execute an approved queued change' — the tool runs/applies a previously queued change to Elementor templates

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs apply_change safely

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

apply_change Rate-limited

apply_change stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "apply_change": {
      "limits": [
        {
          "counter": "apply_change_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about apply_change

What does the apply_change tool do? +

Execute an approved queued change. The change must have status. It is categorised as a Execute tool in the Elementify MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on apply_change? +

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

What risk level is apply_change? +

apply_change is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit apply_change? +

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

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

apply_change is provided by the Elementify MCP server (vamerli/elementify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Elementify, and thousands of servers like it.

This server

All 269 Elementify tools → High-risk tools on this server →

Across the catalogue

All high-risk MCP tools → The MCP Attack Database →

Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →