How to Use the Criteo Retail Media API MCP in AutoGen

Q: How do I register Criteo Retail Media API tools with AutoGen agents?

You use the AutoGen MCP extension to load the tools via mcpservertools. Pass the resulting tool list to your AssistantAgent constructor to give them Criteo access.

Q: Can multiple AutoGen agents use the Criteo Retail Media API at the same time?

Yes, agents in the same group chat can invoke tools like listlineitems as they debate. The framework handles concurrent tool calls seamlessly.

Q: How do AutoGen agents resolve conflicting data from the Criteo Retail Media API?

They debate. If one agent finds low conversions via getretailmediareport and another sees high spend, they negotiate the best path forward before responding.

Q: Does AutoGen support schema conversion for this MCP Server?

Yes, the McpToolAdapter in the AutoGen extension automatically converts the Criteo tool schemas into the format AutoGen agents expect.

Let AutoGen agents debate and optimize your Criteo retail campaigns in real time.

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Setup Criteo Retail Media API with AutoGen

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Collaborative campaign optimization in AutoGen

This MCP Server enables multiple AutoGen agents to coordinate and manage Criteo ads using `list_retail_campaigns`. One agent can specialize in budget monitoring while another focuses on keyword targeting. The agents debate how to allocate funds by comparing active budgets from `list_retail_budgets` with performance reports. They must reach a consensus before suggesting any changes to your retail campaigns.

Multi-agent keyword auditing with AutoGen

The Criteo Retail Media API lets your AutoGen team analyze search terms using `list_line_item_keywords`. A search-specialist agent pulls the active terms, while a product-specialist agent checks SKU availability. By calling `list_account_products`, the product agent flags out-of-stock items, prompting the search agent to adjust targeting. This conversational verification prevents you from wasting ad spend on unpurchasable products.

Retailer performance analysis via AutoGen debate

This toolset allows your AutoGen agents to evaluate retail partners using `list_retailers` and `get_retail_media_report`. A performance agent argues for shifting budget to high-yield retailers, while a risk agent flags high costs. They resolve this conflict by analyzing campaign details retrieved via `get_retail_campaign_details` and `search_retail_campaigns_by_name`. The final recommendation is a balanced decision born from multi-agent negotiation.

Setup guide

Set up Criteo Retail Media API 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 Criteo Retail Media API 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="Criteo Retail Media API_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Criteo Retail Media API data")
print(result.messages[-1].content)

Get your connection token →

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="Criteo Retail Media API_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Criteo Retail Media API data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Criteo Retail Media. 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 Criteo Retail Media API MCP in AutoGen

You use the AutoGen MCP extension to load the tools via `mcp_server_tools`. Pass the resulting tool list to your `AssistantAgent` constructor to give them Criteo access.

Yes, agents in the same group chat can invoke tools like `list_line_items` as they debate. The framework handles concurrent tool calls seamlessly.

They debate. If one agent finds low conversions via `get_retail_media_report` and another sees high spend, they negotiate the best path forward before responding.

Yes, the `McpToolAdapter` in the AutoGen extension automatically converts the Criteo tool schemas into the format AutoGen agents expect.

All interactions with your keyword targeting lists and retailer catalogs occur within secure, isolated sandboxes. Vinkius does not log or persist your sensitive retail media configurations.

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