How to Use the Fusion Operations MCP in AutoGen

Q: How do AutoGen agents resolve scheduling conflicts using Fusion Operations?

Your agents use listfloorworkers and listfloormachines to debate floor capacity. One agent proposes a shift change, while another reviews active orders to verify the schedule works.

Q: Can I register Fusion Operations MCP Server tools to specific AutoGen agents?

Yes, you register tools like createproductionorder exclusively to your production agent while keeping inventory tools restricted to your logistics agent. This keeps their roles clear during multi-agent conversations.

Q: How do Fusion Operations and AutoGen handle complex order approvals?

Your agents pull order details using getproductionorderdetails and debate if the deadline is realistic. Once they agree, the production agent executes createproductionorder to start the run.

Let your AutoGen agents debate and coordinate factory operations from machine schedules to production orders.

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Setup Fusion Operations with AutoGen

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Multi-Agent Scheduling Debates with AutoGen

This MCP Server exposes `list_floor_workers` to let your shift coordinator agent negotiate schedules with your floor manager agent. They debate worker availability against active factory demands to optimize the daily roster. AutoGen manages this conversation, allowing one agent to flag labor shortages while another proposes solutions using `list_manufacturing_operations`. They reach a consensus on who works where before finalizing the plan.

Automated Order Risk Assessment

The MCP Server runs `create_production_order` after your safety and production agents agree a run is feasible. One agent checks machine capacity using `list_floor_machines` while the other flags potential maintenance conflicts. They trade messages back and forth, refining the order details until both AutoGen agents approve the run. This prevents hasty scheduling decisions that overload your assembly lines.

Collaborative Inventory and Storage Management

The server queries your storage setup via `list_storage_locations` to help your AutoGen agents coordinate raw material transfers. A logistics agent and an inventory agent negotiate where to house incoming stock based on current space. They pull active inventory levels using `list_inventory_stocks` to verify there is actual room before moving parts. This keeps your warehouse organized without requiring manual coordination between departments.

Setup guide

Set up Fusion Operations MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Fusion Operations tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Fusion Operations_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Fusion Operations data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Fusion Operations_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Fusion Operations data")
    print(result.messages[-1].content)

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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 AutoGen

Your agents use `list_floor_workers` and `list_floor_machines` to debate floor capacity. One agent proposes a shift change, while another reviews active orders to verify the schedule works.

Yes, you register tools like `create_production_order` exclusively to your production agent while keeping inventory tools restricted to your logistics agent. This keeps their roles clear during multi-agent conversations.

Your agents pull order details using `get_production_order_details` and debate if the deadline is realistic. Once they agree, the production agent executes `create_production_order` to start the run.

The server supports both stdio and Streamable HTTP transports, allowing you to connect your agents however you prefer. AutoGen's adapter handles the schema mapping so your agents call the tools instantly.

All communication between your agents and the factory database is handled through secure local endpoints. No worker rosters or machine telemetry are ever stored, ensuring your operational data remains strictly private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript