How to Use the Alai MCP in OpenAI Agents SDK

Build production-grade marketing agents using the OpenAI Agents SDK and the Alai MCP Server for high-fidelity headshot generation.

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Connect Alai MCP to OpenAI Agents SDK

Create your Vinkius account to connect Alai 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 Alai with OpenAI Agents SDK

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Automate portrait production with OpenAI Agents SDK

Your agent triggers `create_asset` to start a new headshot generation job. It sends your source selfie directly to the Alai API, skipping the manual upload process entirely. Once the job finishes, use `get_generation` to pull the final image URL back into your agent's memory. The SDK's built-in guardrails ensure the tool call parameters are valid before the request leaves your local machine.

Manage marketing assets through code

Keep your workspace clean by running `list_assets` to audit what you have stored in the system. If an old campaign photo is no longer needed, your agent can fire `delete_asset` to wipe it immediately. This keeps your remote account synced with your application state. You'll avoid cluttering your storage with outdated drafts or failed test runs.

Scale campaign creation automatically

Use `create_campaign` to set up new marketing initiatives based on your generated headshots. Your agent links these assets to specific campaigns without you touching a dashboard. Check your progress by calling `list_campaigns` to see current statuses. This pipeline runs asynchronously, letting your agent handle other logic while the server works on your portraits.

Setup guide

Set up Alai 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 Alai tools at runtime.
3

Create your Agent

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

Run the agent

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

You instantiate an MCPServerStreamableHttp object with your endpoint URL. Pass this instance into your Agent constructor's mcp_servers list to let the SDK discover the tools automatically.

Yes, the SDK catches failures during tool execution. You should wrap your agent's task in a try-except block to handle any response codes returned by the server.

The server connection uses an async context manager. This ensures your agent remains responsive while waiting for the image generation to complete.

Vinkius manages all authentication via a single endpoint token. Your agent sends this token with every request to keep the connection private.

Your input images are processed only for portrait generation. We use ephemeral sessions that clear your source data once the specific task finishes.

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OpenAI Agents SDK sdk-python