How to Use the Medusa (Headless E-commerce Engine) MCP in AutoGen

Q: How do AutoGen agents collaborate using Medusa (Headless E-commerce Engine)?

You register the tools with an AssistantAgent. One agent can run listproducts to find an item, while another uses getproduct to check its variations and confirm stock before completing a task.

Q: Can an AutoGen agent capture payments using Medusa (Headless E-commerce Engine)?

Yes. The agent invokes capturepayment after a supervisor agent confirms that the order details returned by getorder are correct and fully verified.

Q: How do I pass Medusa (Headless E-commerce Engine) tools to AutoGen agents?

Use mcpservertools to fetch the tools from this MCP Server. Pass this list to your AssistantAgent constructor, and the McpToolAdapter will handle the schema translation automatically.

Build multi-agent checkout and support loops by connecting Medusa (Headless E-commerce Engine) to your AutoGen agents.

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Connect Medusa (Headless E-commerce Engine) MCP to AutoGen

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Setup Medusa (Headless E-commerce Engine) with AutoGen

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Coordinate order audits with AutoGen

The `get_order` tool lets your support agent inspect transaction details via this MCP integration during a customer dispute. Your billing agent retrieves the address while a second agent verifies the payment status using `capture_payment`. These agents debate whether the order is ready for fulfillment based on the returned data. They reach a consensus before updating the customer status or flagging the transaction for manual review.

Cross-reference profiles using AutoGen agents

The `get_customer` tool retrieves profile details to help your CRM agent verify a buyer's identity. Meanwhile, a sales agent calls `list_customers` to check if the user qualifies for active loyalty discounts. By comparing these datasets, the agents decide which regional pricing to apply. They coordinate the final offer without requiring manual database exports.

Resolve region disputes with this MCP Server

This MCP Server provides the `list_regions` tool so your logistics agent can verify tax rates and payment providers. A separate finance agent cross-references this with `get_store_config` to confirm currency compatibility. The agents negotiate the best shipping route based on these regional constraints. They output a structured proposal directly to your terminal.

Setup guide

Set up Medusa (Headless E-commerce Engine) 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 Medusa (Headless E-commerce Engine) 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="Medusa (Headless E-commerce Engine)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Medusa (Headless E-commerce Engine) 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="Medusa (Headless E-commerce Engine)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Medusa (Headless E-commerce Engine) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Medusa (Headless E-commerce Engine) MCP in AutoGen

You register the tools with an `AssistantAgent`. One agent can run `list_products` to find an item, while another uses `get_product` to check its variations and confirm stock before completing a task.

Yes. The agent invokes `capture_payment` after a supervisor agent confirms that the order details returned by `get_order` are correct and fully verified.

Use `mcp_server_tools` to fetch the tools from this MCP Server. Pass this list to your `AssistantAgent` constructor, and the `McpToolAdapter` will handle the schema translation automatically.

AutoGen supports both stdio and Streamable HTTP transports. You can configure the `StreamableHttpServerParams` with your Vinkius URL to establish a stable connection.

The integration relies on token-based authentication and ephemeral execution environments. Your transaction data and billing addresses are never written to disk, ensuring complete isolation from other processes.

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