How to Use the Mirakl (Enterprise Marketplace Platform) MCP in AutoGen
Build multi-agent debates in AutoGen to resolve seller disputes and audit Mirakl orders.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mirakl (Enterprise Marketplace Platform) MCP to AutoGen
Create your Vinkius account to connect Mirakl (Enterprise Marketplace Platform) 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 Seller Disputes via AutoGen Debates
The `list_messages` tool pulls internal merchant communication threads directly into your AutoGen multi-agent conversations. This allows a customer service agent and a compliance agent to review the same conversation history. By combining this with `get_order`, your agents can cross-reference communication logs with actual checkout transactions. They deliberate to decide if a refund is warranted based on facts.
Audit Merchant Compliance and Shop Configurations
The `list_shops` tool supplies your AutoGen agents with operational parameters for all active third-party merchants. This lets you deploy specialized agents to audit merchant compliance. When an agent flags an issue, it calls `get_shop` to inspect the exact configuration rules of that merchant. The agents then debate whether the merchant violated platform terms before proposing action.
Manage Catalog Ingestions with this MCP Server
The `list_products` tool outputs broad catalog nodes to your AutoGen agent network through this MCP Server. This allows your inventory agents to check if new uploads match your catalog guidelines. Your agents use `list_categories` to match products against the approved category tree. They debate classification issues and only approve listings that fit your taxonomy.
Set up Mirakl (Enterprise Marketplace Platform) 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 Mirakl (Enterprise Marketplace Platform) 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="Mirakl (Enterprise Marketplace Platform)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Mirakl (Enterprise Marketplace Platform) 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="Mirakl (Enterprise Marketplace Platform)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Mirakl (Enterprise Marketplace Platform) 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 Mirakl. 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 Mirakl (Enterprise Marketplace Platform) MCP in AutoGen
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