How to Use the Commerce.js MCP in AutoGen
Let your AutoGen agents debate and coordinate complex tasks using this Commerce.js MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Commerce.js MCP to AutoGen
Create your Vinkius account to connect Commerce.js 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.
Coordinate multi-agent checkouts with AutoGen
This multi-agent setup lets one AutoGen agent use `list_products` to find items while a separate checkout agent handles `create_cart` and `add_to_cart`. They coordinate within the AutoGen framework to make sure the right Commerce.js items are staged. Before finalizing the Commerce.js cart, an AutoGen supervisor agent can review the contents. Once approved, the checkout agent calls `generate_checkout_token` and `capture_order` to complete the transaction securely.
Resolve order issues through agent debate
This MCP Server lets your AutoGen agents pull order details using `get_order` or `list_orders` to handle customer disputes without human intervention. They debate whether the Commerce.js order meets your return criteria based on the transaction history. This consensus-driven AutoGen approach minimizes errors when managing Commerce.js refunds. Here's the thing: the agents analyze the payment status and fulfillment state before deciding to flag the Commerce.js order or proceed with automated customer updates.
Let AutoGen manage your Commerce.js catalog updates
This toolset lets your AutoGen agents look up active categories using `list_categories` and inspect product listings with `get_product` to automate storefront organization. They work together to suggest Commerce.js updates inside the AutoGen conversation. By checking the current cart activity with `update_cart_item`, the AutoGen agents can even suggest pushing high-performing items to the front page of your store. It brings automated curation to your digital storefront.
Set up Commerce.js 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 Commerce.js 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="Commerce.js_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Commerce.js 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="Commerce.js_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Commerce.js 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 Commerce.js. 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 Commerce.js MCP in AutoGen
Use it with your favorite AI tools
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