How to Use the YoneTeam MCP in AutoGen

Q: What data does YoneTeam expose regarding materials for AutoGen?

It exposes material catalog data via listmaterialscatalog. Agents can use this tool to debate whether a needed item is currently available in the system.

Q: Does YoneTeam provide supplier listing data for AutoGen?

Yes, you can use listsuppliers. Agents use this list to debate which approved vendor should be prioritized for a given task or purchase.

Build consensus-driven systems: AutoGen debates YoneTeam's operations using the MCP Server for critical decisions.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect YoneTeam MCP to AutoGen

Create your Vinkius account to connect YoneTeam to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup YoneTeam with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Negotiating Purchasing Strategy

You build a system where agents debate purchasing needs. An 'Inventory Agent' might call `list_demands` to flag high-priority items, while a 'Finance Agent' calls `get_me` to check budget limits.

Vetting Complex Offers

Need to approve a big purchase? Agents debate the best approach. One agent checks `list_suppliers`, another uses `list_offers` for pricing, and they converge on the single recommended action.

Multi-Step PO Reconciliation

Agents handle complex data flow. A 'Logistics Agent' runs `list_deliveries`. Another agent then calls `get_order_details` to reconcile if those deliveries match open purchase orders.

Setup guide

Set up YoneTeam 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 YoneTeam 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="YoneTeam_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="YoneTeam_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by YoneTeam. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect YoneTeam now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about YoneTeam MCP in AutoGen

The MCP Server's tools act as inputs for debate. Agents discuss the results of calling `list_purchase_orders` or checking material availability.

Yes, the framework supports multi-server aggregation. This lets your agents draw tools from several different MCP sources to reach consensus.

It exposes material catalog data via `list_materials_catalog`. Agents can use this tool to debate whether a needed item is currently available in the system.

The server handles operational and financial data types. This includes account information from `get_me` and purchase order details.

Yes, you can use `list_suppliers`. Agents use this list to debate which approved vendor should be prioritized for a given task or purchase.

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