cloud_deploy
Deploy app to Yaver Cloud (managed Hetzner VPS). Provisions server, deploys Docker containers, sets up SSL/DNS/backups.
This record as markdown: /tools/io-github-kivanccakmak-yaver/cloud-deploy.md
What cloud_deploy does on Yaver
AI agents invoke cloud_deploy to trigger actions in Yaver. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | — | App name |
plan | string | Yes | Plan: starter ($9/mo), pro ($19/mo), scale ($29/mo) |
domain | string | — | Custom domain |
region | string | — | Region: eu, us, asia (default: closest) |
Parameters from the server's own tool schema.
Why cloud_deploy is rated High
The tool orchestrates complex infrastructure deployment including server provisioning and container orchestration. While deployment itself is a legitimate operation, it executes code/configurations on external systems whose effects depend on the app being deployed.
From the tool's definition Tool deploys Docker containers to a remote VPS, provisions servers, and configures infrastructure (SSL/DNS/backups). These are irreversible operational changes with external effects.
Attacks that exploit this kind of access
The rule that runs cloud_deploy safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Yaver, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cloud_deploy, this is the rule to start with:
cloud_deploy 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Yaver, apply this rule, and every cloud_deploy call is checked against it from then on.
Questions about cloud_deploy
Deploy app to Yaver Cloud (managed Hetzner VPS). Provisions server, deploys Docker containers, sets up SSL/DNS/backups. It is categorised as a Execute tool in the Yaver MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
cloud_deploy accepts 4 parameters: name, plan, domain, region. Required: plan. The full parameter table on this page comes from the server's own tool schema.
Register the Yaver MCP server in PolicyLayer and add a rule for cloud_deploy: 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 Yaver. Nothing to install.
cloud_deploy is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the cloud_deploy 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.
Set action: deny in the PolicyLayer policy for cloud_deploy. 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.
cloud_deploy is provided by the Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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