yaver_managed_cloud_onboarding
High-level guided MCP flow for buying and onboarding a Yaver managed cloud machine. Always returns status and post-purchase repo/credential sync steps. Only creates a checkout URL when confirm_checkout=true AND accept_cost=true, after explicit user approval.
This record as markdown: /tools/io-github-kivanccakmak-yaver/yaver-managed-cloud-onboarding.md
What yaver_managed_cloud_onboarding does on Yaver
AI agents use yaver_managed_cloud_onboarding to commit financial operations through Yaver, usually the final step of a payment, billing, or trading workflow. A call moves real money.
| Parameter | Type | Required | Description |
|---|---|---|---|
region | string | — | eu default |
repo_query | string | — | Optional app/repo name to deploy after the cloud machine is ready |
accept_cost | boolean | — | Must be true with confirm_checkout after explicit user approval of billable managed cloud |
git_provider | string | — | |
machine_type | string | — | cpu default; gpu for heavier/model workloads |
start_git_oauth | boolean | — | Optionally start GitHub/GitLab Device Flow while preparing cloud onboarding |
confirm_checkout | boolean | — | Set true only after the user asks to buy/start checkout |
Parameters from the server's own tool schema.
Why yaver_managed_cloud_onboarding is rated Critical
This tool facilitates purchasing a managed cloud machine, which is a financial transaction. The description explicitly references buying, checkout, and cost acceptance, making this a Financial category tool. Misuse could result in unauthorized purchases, hence critical severity.
From the tool's definition 'buying and onboarding a Yaver managed cloud machine', 'Only creates a checkout URL when confirm_checkout=true AND accept_cost=true', 'post-purchase repo/credential sync steps'
Attacks that exploit this kind of access
The rule that runs yaver_managed_cloud_onboarding 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 yaver_managed_cloud_onboarding, this is the rule to start with:
Any call to yaver_managed_cloud_onboarding is blocked until a human approves it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Yaver, apply this rule, and every yaver_managed_cloud_onboarding call is checked against it from then on.
Questions about yaver_managed_cloud_onboarding
High-level guided MCP flow for buying and onboarding a Yaver managed cloud machine. Always returns status and post-purchase repo/credential sync steps. Only creates a checkout URL when confirm_checkout=true AND accept_cost=true, after explicit user approval. It is categorised as a Financial tool in the Yaver MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
yaver_managed_cloud_onboarding accepts 7 parameters: region, repo_query, accept_cost, git_provider, machine_type, start_git_oauth, confirm_checkout. 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 yaver_managed_cloud_onboarding: 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.
yaver_managed_cloud_onboarding is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the yaver_managed_cloud_onboarding 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 yaver_managed_cloud_onboarding. 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.
yaver_managed_cloud_onboarding 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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