How to Use the Logto (Auth Platform) MCP in OpenAI Agents SDK

Q: What is the best way to optimize tool discovery latency?

Set cacheToolsList=True in your connection parameters. This prevents the MCP connection from querying the server schema on every single message cycle, keeping response times under 50ms.

Run secure multi-agent auth workflows in production using OpenAI Agents SDK to manage Logto users, roles, and organizations directly.

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Connect Logto (Auth Platform) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Logto (Auth Platform) 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 Logto (Auth Platform) with OpenAI Agents SDK

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Automate User Provisioning via OpenAI Agents SDK

`create_user` acts as the entry point for your agent to register new accounts. Your OpenAI agent handles onboarding flows, validates emails, and immediately executes `send_verification_code` without manual developer intervention. The agent transitions between specialized onboarding assistants using native handoffs. It checks the profile status using `get_user` and applies security policies before finalizing the setup.

Enforce Multi-Factor Security in Production

`bind_mfa_verification` secures high-risk agent operations by forcing multi-factor enrollment. The OpenAI Agents SDK intercepts sensitive calls, requiring the agent to verify the user identity through `list_mfa_verifications` before modifying tenant settings. This MCP Server exposes critical step-up auth tools directly to your guardrails. If a user tries to access a restricted resource, your agent calls `verify_user_password` to confirm their identity before proceeding.

Manage B2B Tenants and Roles Dynamically

`create_organization` partitions your enterprise customers into isolated tenants instantly. Your agent queries existing structures with `list_organizations` and maps corporate domains to specific organizational boundaries. Access control updates execute via `create_role` and `list_user_roles` to maintain strict privilege boundaries. The OpenAI dashboard traces these identity changes, ensuring every policy modification remains auditable.

Setup guide

Set up Logto (Auth Platform) 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 Logto (Auth Platform) tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Logto (Auth Platform) 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="Logto (Auth Platform) Agent",
            instructions="You have access to Logto (Auth Platform) 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 Logto (Auth Platform) MCP in OpenAI Agents SDK

You register this MCP Server by passing the HTTP transport configuration into your agent constructor. The SDK auto-discovers all 23 identity management tools and exposes them to your system prompts.

Yes, you configure this by defining custom guardrails within your agent definition. You intercept calls to sensitive operations like `delete_user` or `update_my_account_password` before they reach the execution phase.

Your system routes identity tasks to specialized agents based on the tools they access. For example, a provisioning agent uses `create_user` and then hands off to an organization agent that runs `create_organization`.

Set `cacheToolsList=True` in your connection parameters. This prevents the MCP connection from querying the server schema on every single message cycle, keeping response times under 50ms.

Your credentials and hashing parameters never leave the secure V8 sandbox. This MCP Server processes operations like `verify_user_password` and `remove_mfa_verification` over encrypted endpoints, ensuring raw passwords are never exposed to the LLM context.

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