yaver_self_host_onboarding
High-level guided MCP flow for setting up Yaver on the user's own machine/VPS. Returns normie-friendly next steps for auth, serve, phone pairing, repo selection, runner setup, GitHub/GitLab credentials, and optional cloud upgrade. Can start GitHub/GitLab Device Flow when start_git_oauth=true.
This record as markdown: /tools/io-github-kivanccakmak-yaver/yaver-self-host-onboarding.md
What yaver_self_host_onboarding does on Yaver
AI agents invoke yaver_self_host_onboarding 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 |
|---|---|---|---|
runner | string | — | Preferred coding runner: codex, claude-code, opencode |
repo_query | string | — | Optional app/repo name the user wants to use |
git_provider | string | — | Provider for optional Device Flow |
start_git_oauth | boolean | — | Start GitHub/GitLab Device Flow now; user approves in browser |
include_cloud_cta | boolean | — | Include the managed-cloud upgrade path in the response |
Parameters from the server's own tool schema.
Why yaver_self_host_onboarding is rated High
This is an Execute tool because it triggers external operations whose effects depend on arguments, specifically: starting OAuth Device Flows, configuring CI/CD runners, and initiating server processes.
From the tool's definition The tool 'can start GitHub/GitLab Device Flow' and handles 'GitHub/GitLab credentials' setup, 'runner setup', and 'serve' operations. It executes a 'guided MCP flow' that initiates OAuth flows and configures system services.
Attacks that exploit this kind of access
The rule that runs yaver_self_host_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_self_host_onboarding, this is the rule to start with:
yaver_self_host_onboarding 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 yaver_self_host_onboarding call is checked against it from then on.
Questions about yaver_self_host_onboarding
High-level guided MCP flow for setting up Yaver on the user's own machine/VPS. Returns normie-friendly next steps for auth, serve, phone pairing, repo selection, runner setup, GitHub/GitLab credentials, and optional cloud upgrade. Can start GitHub/GitLab Device Flow when start_git_oauth=true. 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.
yaver_self_host_onboarding accepts 5 parameters: runner, repo_query, git_provider, start_git_oauth, include_cloud_cta. 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_self_host_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_self_host_onboarding 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 yaver_self_host_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_self_host_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_self_host_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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