How to Use the Criteo Retail Media API MCP in Pydantic AI

Q: Does Pydantic AI validate Criteo Retail Media API responses?

Yes, every MCP response from listlineitems or other tools is validated against your Pydantic models at runtime.

Enforce strict types for your Criteo Retail Media API data within Pydantic AI agents.

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Connect Criteo Retail Media API MCP to Pydantic AI

Create your Vinkius account to connect Criteo Retail Media API to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Criteo Retail Media API with Pydantic AI

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Strict Data Validation in Pydantic AI

Every call to `list_advertiser_accounts` passes through Pydantic models. If the API returns garbage, your agent fails immediately rather than processing bad data. This ensures your campaign logic stays predictable. You define the schema, and the server response must match it perfectly.

Type-Safe Campaign Management

Use `list_retail_campaigns` to populate your agent's state with validated objects. You no longer guess the structure of your campaign names or IDs. Call `search_retail_campaigns_by_name` to find specific targets. The typed output makes your agent code cleaner and much easier to debug.

Precise Keyword and Product Control

Retrieve your targeted keywords with `list_line_item_keywords` and map them to your internal data types. It eliminates silent errors during your execution flow. Use `list_account_products` to keep your catalog in sync. Each item is checked against your model so your agent only acts on confirmed data.

Setup guide

Set up Criteo Retail Media API MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "criteo-retail-media-api-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Criteo Retail Media API tools.",
)

result = await agent.run("List recent Criteo Retail Media API transactions")
print(result.output)

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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 Pydantic AI

Yes, every MCP response from `list_line_items` or other tools is validated against your Pydantic models at runtime.

If the API payload deviates from your expected schema, the tool call throws a validation error. This prevents your agent from acting on corrupted info.

The server is model-agnostic. You connect your Pydantic AI agent to the Vinkius endpoint, and it works with any model you choose.

We use zero-trust principles. Only your authorized endpoint token allows access to your account data via the MCP server.

The server environment is ephemeral. Once your session ends, the transient data—like your advertiser account lists—is wiped completely.

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