How to Use the Extensiv MCP in AutoGen
Let AutoGen agents coordinate Extensiv operations through consensus.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Extensiv MCP to AutoGen
Create your Vinkius account to connect Extensiv 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.
Resolve Supply Chain Discrepancies in AutoGen
Our MCP Server lets `list_pos` retrieve your active purchase orders, allowing your AutoGen agents to debate whether incoming shipments match vendor promises. One agent reviews the PO details while another checks `list_vendors` to verify lead times. They argue over the discrepancies within the AutoGen group chat and converge on an action plan. This consensus-driven approach keeps your Extensiv replenishment accurate without manual oversight.
Coordinate Returns and Shipments
`list_rmas` exposes return authorizations, which your AutoGen agents analyze to determine if a replacement order should be created. A customer service agent flags the return reason while a logistics agent queries `list_shipments` to track the original delivery. The AutoGen agents negotiate the refund or replacement decision based on the shipping history. You get a debated resolution for every returned item in your Extensiv catalog.
Optimize Omnichannel Inventory Allocations
`list_inventory` provides real-time stock levels across physical locations, feeding your AutoGen agents the data they need to balance inventory. A sales agent argues for keeping stock on high-volume channels, while a warehouse agent uses `list_warehouses` to argue for local fulfillment constraints. They deliberate inside the AutoGen framework until they reach an optimal distribution strategy. This prevents channel conflict and ensures your Extensiv stock is allocated where it actually belongs.
Set up Extensiv 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Extensiv tools and returns structured results.
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="Extensiv_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Extensiv data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Extensiv_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Extensiv data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Extensiv. 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 Extensiv MCP in AutoGen
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