How to Use the Commerce7 MCP in AutoGen
Enable multi-agent debate in AutoGen for Commerce7 winery decision-making.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Commerce7 MCP to AutoGen
Create your Vinkius account to connect Commerce7 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.
Debate winery strategy with AutoGen
Assign agents to evaluate `list_reservations` and `list_products` to determine daily tasting room capacity. One agent might push for more bookings while another flags inventory constraints. They negotiate until they reach a consensus on the daily plan. This prevents the bias of a single agent making critical operational decisions.
Automate Commerce7 sales workflows
Use `list_coupons` and `get_product` to let agents analyze current promotion effectiveness. They challenge each other on which wines to feature based on current stock and redemption counts. The resulting plan is a product of this deliberation process. You get a well-vetted recommendation that considers multiple business perspectives simultaneously.
Coordinate Commerce7 club operations
Deploy specialized agents to manage club member updates and order fulfillment. They verify data from `list_club_members` against order history to flag potential issues. Agents communicate and correct each other's assumptions. You oversee the final output, knowing that multiple layers of logic checked the data.
Set up Commerce7 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 Commerce7 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="Commerce7_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Commerce7 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="Commerce7_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Commerce7 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 Commerce7. 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 Commerce7 MCP in AutoGen
Use it with your favorite AI tools
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