auth_connect
Start an OAuth Connect and get the consent URL to open in a browser. Pass provider (github|google|x|atlassian|microsoft|slack|notion|gitlab|discord|reddit|linear — account-wide, reused everywhere) OR server_url (any MCP server; Rokha runs the MCP auth-spec handshake, grant bound to that server). ...
This record as markdown: /tools/ai-rokha-rokha/auth-connect.md
What auth_connect does on Rokha
AI agents use auth_connect to create or update resources in Rokha, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rokha environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
provider | string | — | Tier-1 provider id (mutually exclusive with server_url). |
server_url | string | — | Any MCP server URL for the spec handshake. |
Parameters from the server's own tool schema.
Why auth_connect is rated Medium
Initiates OAuth flow and stores credentials in vault; reversible write action.
From the tool's definition Start an OAuth Connect, token lands in the vault
Attacks that exploit this kind of access
The rule that runs auth_connect safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Rokha, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For auth_connect, this is the rule to start with:
auth_connect stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Rokha, apply this rule, and every auth_connect call is checked against it from then on.
Questions about auth_connect
Start an OAuth Connect and get the consent URL to open in a browser. Pass provider (github|google|x|atlassian|microsoft|slack|notion|gitlab|discord|reddit|linear — account-wide, reused everywhere) OR server_url (any MCP server; Rokha runs the MCP auth-spec handshake, grant bound to that server). On approval the token lands in the vault under the returned alias. Requires a logged-in identity. It is categorised as a Write tool in the Rokha MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
auth_connect accepts 2 parameters: provider, server_url. The full parameter table on this page comes from the server's own tool schema.
Register the Rokha MCP server in PolicyLayer and add a rule for auth_connect: 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 Rokha. Nothing to install.
auth_connect 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 auth_connect 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 auth_connect. 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.
auth_connect is provided by the Rokha MCP server (https://rokha.ai/mcp/jsonrpc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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