How to Use the Authing MCP in OpenAI Agents SDK

Q: How do I connect Authing to the OpenAI Agents SDK?

Use MCPServerStreamableHttp with your Vinkius endpoint token. Pass the resulting server instance into the mcpservers array when building your Agent. The SDK auto-discovers all ten MCP tools immediately.

Connect the Authing MCP Server to your OpenAI Agents SDK pipeline to automate identity management with production-grade guardrails.

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Connect Authing MCP to OpenAI Agents SDK

Create your Vinkius account to connect Authing to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Authing with OpenAI Agents SDK

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Perplexity

Identity provisioning for OpenAI Agents

Agents can execute `create_user` and `list_users` directly from their reasoning loop. You define the safety constraints in your OpenAI Agent constructor, ensuring the bot doesn't provision accounts without specific approval parameters. Tracing in the OpenAI dashboard shows exactly when an agent checks `list_groups` before adding a new hire. If the agent tries to assign an unauthorized role, the built-in guardrails block the action before it hits the Authing MCP Server.

Automated audit log analysis

Handoffs between specialized agents make security reviews trivial when using `get_audit_logs`. One agent pulls raw authentication events from Authing, then passes that payload to a specialized analysis agent for processing. Your security agent can cross-reference those logs against `get_security_settings` to spot misconfigured pools. The SDK handles the asynchronous tool calls, meaning your system processes thousands of login events without blocking the main event loop.

Managing roles and permissions

Give your OpenAI agent the ability to map out your entire access structure using `list_applications` and `list_roles`. Instead of clicking through a dashboard, your Python code asks the agent to map who has access to what. Fetching `list_resources` lets the agent verify specific permission boundaries. Setting `cacheToolsList=True` keeps the initialization fast, so your production system boots up and reads the IAM state instantly.

Setup guide

Set up Authing MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Authing tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Authing tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Authing tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Authing Agent",
            instructions="You have access to Authing tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Authing MCP in OpenAI Agents SDK

Use `MCPServerStreamableHttp` with your Vinkius endpoint token. Pass the resulting server instance into the `mcp_servers` array when building your Agent. The SDK auto-discovers all ten MCP tools immediately.

Yes, every tool execution shows up in your OpenAI tracing dashboard. You will see exactly when the agent calls `get_user` and what JSON payload it receives back.

Define explicit guardrails in your OpenAI agent configuration. You can allow read-only operations like `list_organizations` while blocking the agent from executing `create_user` without human approval.

The SDK catches the timeout and the agent decides whether to retry the call. You handle this using standard async context managers in your Python pipeline.

Vinkius runs the server inside a V8 Isolate Sandbox that destroys itself after the session ends. Your raw user details and security audit logs never hit disk, ensuring zero-trust execution for sensitive identity records.

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