How to Use the MPU-Manager MCP in OpenAI Agents SDK

Q: How do I connect MPU-Manager to my OpenAI Agents SDK pipeline?

Install the package and configure MCPServerStreamableHttp with your Vinkius endpoint. Pass the server instance inside the mcpservers list when you initialize your agent. The SDK handles tool discovery out of the box.

Q: Can my agent check client information during a broadcast?

Yes, the agent can use getclient or listclients to pull client contact details instantly. This helps when a producer needs to verify sponsor requirements mid-show.

Q: Does the MPU-Manager MCP integration with OpenAI Agents SDK support handoffs?

Absolutely. You can have a scheduling agent use listappointments to find gaps, then hand off to a supervisor agent that runs createappointment to finalize the slot.

Q: How do I fetch reports for a specific case?

Your agent runs listreports to grab all documentation tied to a case. This gives your team a clear paper trail of what went wrong on set.

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Connect MPU-Manager MCP to OpenAI Agents SDK

Create your Vinkius account to connect MPU-Manager 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 MPU-Manager with OpenAI Agents SDK

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Coordinate Crew Schedules with OpenAI Agents SDK

`create_appointment` lets your agent book camera crews and production staff directly from your Python code. The OpenAI Agents SDK automatically registers this tool, allowing your agent to read current calendars and assign shifts without manual routing rules. If a time slot conflicts, the agent uses `list_appointments` to find an open window. This prevents double-booking production gear and crew members during tight live broadcast windows.

Track Production Incidents via MCP Server Tools

`create_case` registers a live production issue the moment it happens on set. Your agent can spin up a dedicated case, pull up-to-the-minute details using `get_case`, and assign technical resources before the broadcast goes dark. This MCP integration lets you run multi-agent handoffs. One agent flags the issue, while another queries `list_cases` to see if it is a recurring hardware failure.

Direct Verification of API Status

`check_mpumanager_status` verifies that your connection to the broadcast management database is active. The agent runs this check before executing any complex scheduling sequences to prevent failed API calls. You get immediate feedback on API health. This is vital when running autonomous production pipelines where silent network drops would otherwise halt crew updates.

Setup guide

Set up MPU-Manager 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 MPU-Manager tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the package and configure `MCPServerStreamableHttp` with your Vinkius endpoint. Pass the server instance inside the `mcp_servers` list when you initialize your agent. The SDK handles tool discovery out of the box.

Yes, the agent can use `get_client` or `list_clients` to pull client contact details instantly. This helps when a producer needs to verify sponsor requirements mid-show.

Absolutely. You can have a scheduling agent use `list_appointments` to find gaps, then hand off to a supervisor agent that runs `create_appointment` to finalize the slot.

Your agent runs `list_reports` to grab all documentation tied to a case. This gives your team a clear paper trail of what went wrong on set.

All scheduling data, client details, and case files stay within an isolated V8 sandbox on Vinkius. We never store or log your raw API payloads, keeping your production details safe from external exposure.

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