Personal Agent Gateway: complete a pending OAuth connector authoring (from gateway_connect). With no code it waits for the browser loopback callback; otherwise pass the pasted authorization code (headless boxes). Exchanges the code for tokens, stores them in your vault, and registers the connector.
AI agents use gateway_connect_finish to create or update resources in Yaver — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Yaver environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
code | string | — | Authorization code to paste (headless fallback). Omit to wait for the loopback callback. |
connect_id | string | Yes | The connect_id returned by gateway_connect |
Parameters from the server's own tool schema.
An AI agent can call gateway_connect_finish faster than any human can review — one bad instruction and it creates or modifies resources in Yaver by the hundred, each call as confident as the last.
Risk signalsAccepts freeform code/query input (code)
Attacks that exploit this kind of access
Personal Agent Gateway: complete a pending OAuth connector authoring (from gateway_connect). With no code it waits for the browser loopback callback; otherwise pass the pasted authorization code (headless boxes). Exchanges the code for tokens, stores them in your vault, and registers the connector. It is categorised as a Write tool in the Yaver MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
gateway_connect_finish accepts 2 parameters: code, connect_id. Required: connect_id. 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 gateway_connect_finish: 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.
gateway_connect_finish is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the gateway_connect_finish 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 gateway_connect_finish. 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.
gateway_connect_finish 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.