A pre-check to stop AI agents from creating huge cloud bills
AI agents that can run Terraform, kubectl, or other cloud commands can create a serious cost risk. The agent may not know how much an action will cost before it runs, or whether it will push spending over budget. A paid plan does not solve that problem, because and cloud spending are separate costs.
A public MCP tool checks the estimated cost, the budget, and the user’s policy before the agent acts. It returns one of three results: allow, ask for human approval, or block. It can also suggest changes as instead of directly changing live systems.
The main concern is that many agents with real access still appear to have little or no cost control before they act.
Key points
- Agents with access can create cloud costs before a person notices.
- A does not protect against cloud spending.
- The MCP tool checks cost, budget, and policy before an action runs.
- The tool can allow, ask for approval, or block the action.
- It can propose changes through instead of changing directly.