How to Use the Fusion Operations MCP in OpenAI Agents SDK

Connect Fusion Operations to OpenAI Agents SDK to manage factory floor output and inventory with live agent guardrails.

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Connect Fusion Operations MCP to OpenAI Agents SDK

Create your Vinkius account to connect Fusion Operations 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 Fusion Operations with OpenAI Agents SDK

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Automated order management

Use `create_production_order` to push new manufacturing tasks directly from your agent logic. Your OpenAI Agents SDK setup ensures these requests are validated against your safety constraints before they hit the floor. This keeps your production line moving without manual entry. Your agent handles the logic, checking `list_production_orders` to ensure you aren't doubling up on active runs.

Real-time inventory visibility

Query `list_inventory_stocks` to see exactly what is on hand before you commit to new builds. Your agent gets a raw feed of current levels, allowing it to adjust plans based on what's physically in the warehouse. Stop guessing about material availability. By linking your OpenAI Agents SDK to this MCP Server, you get a direct view into your stock counts without leaving your Python environment.

Floor machine monitoring

Track machine status using `list_floor_machines` to identify bottlenecks in your current pipeline. Your agent can cross-reference this with `list_manufacturing_operations` to see which units are actually available for work. This visibility prevents over-committing your hardware. Your OpenAI Agents SDK agents can now make decisions based on the actual state of your factory floor.

Setup guide

Set up Fusion Operations 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 Fusion Operations tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Fusion Operations 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="Fusion Operations Agent",
            instructions="You have access to Fusion Operations tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fusion Operations. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Fusion Operations MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp instance and pass it to your Agent constructor. The tools auto-discover, letting you call them as standard Python functions.

Yes, every tool execution is subject to your defined agent guardrails. You catch errors before the server processes the order request.

You should set cacheToolsList to True for better performance. This keeps your agent responsive when querying large lists like `list_production_records`.

The server returns the specific error code. Your agent logs it, and you can handle the retry or shift logic immediately.

Your factory floor data is handled via an endpoint token. We keep your production logs, worker schedules, and inventory counts isolated inside our V8 sandbox.

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