clerk.create_oauth_application
Create a new OAuth application in a connected Clerk application (Clerk as IdP). Sensitive — client_secret may be present for confidential clients; do not log or expose it. Call clerk.get_connected_accounts first. Pass clerk_instance_id to target a specific connection, or omit it to use the defaul...
This record as markdown: /tools/io-github-vee3io-vee3/clerk.create-oauth-application.md
What clerk.create_oauth_application does on Vee3
AI agents use clerk.create_oauth_application to create or update resources in Vee3, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Vee3 environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | Display name for the new OAuth application. |
public | object | — | Whether this is a public OAuth client (no client secret; PKCE-capable). |
scopes | object | — | Space-delimited scopes (e.g. profile email public_metadata). |
redirect_uris | object | — | Allowed redirect URIs for the OAuth authorization flow. |
clerk_instance_id | object | — | Clerk instance id (ins_...) from clerk.get_connected_accounts. Omit to use the default connected account. |
consent_screen_enabled | object | — | Whether to show the OAuth consent screen during authorization. |
Parameters from the server's own tool schema.
Why clerk.create_oauth_application is rated Medium
Creates OAuth credentials with sensitive secrets; reversible but high-risk if misused to establish unauthorized access channels.
From the tool's definition Create a new OAuth application; client_secret may be present for confidential clients.
Attacks that exploit this kind of access
The rule that runs clerk.create_oauth_application safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Vee3, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For clerk.create_oauth_application, this is the rule to start with:
clerk.create_oauth_application 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 Vee3, apply this rule, and every clerk.create_oauth_application call is checked against it from then on.
Questions about clerk.create_oauth_application
Create a new OAuth application in a connected Clerk application (Clerk as IdP). Sensitive — client_secret may be present for confidential clients; do not log or expose it. Call clerk.get_connected_accounts first. Pass clerk_instance_id to target a specific connection, or omit it to use the default account. Returns the new OAuth application summary. Cost = 10 tokens. It is categorised as a Write tool in the Vee3 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
clerk.create_oauth_application accepts 6 parameters: name, public, scopes, redirect_uris, clerk_instance_id, consent_screen_enabled. Required: name. The full parameter table on this page comes from the server's own tool schema.
Register the Vee3 MCP server in PolicyLayer and add a rule for clerk.create_oauth_application: 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 Vee3. Nothing to install.
clerk.create_oauth_application 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 clerk.create_oauth_application 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 clerk.create_oauth_application. 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.
clerk.create_oauth_application is provided by the Vee3 MCP server (https://mcp.vee3.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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