How do I get Criteo Retail Media API credentials?

Log in to the Criteo Developer Portal, create a new app specifically for Retail Media, and you will receive a Client ID and Client Secret.

What is the difference between Marketing and Retail Media APIs?

Marketing API focuses on off-site display and retargeting, while Retail Media API is designed for managing sponsored products and on-site advertising within retailer platforms.

Can I see keyword performance?

Yes, you can use the list_line_item_keywords tool to see which keywords are being targeted and request reports to see their conversion metrics.

Criteo Retail Media API MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Criteo Retail Media API
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Criteo Retail Media API through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Criteo Retail Media API "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Criteo Retail Media API?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Criteo Retail Media API MCP Server

Integrate the Criteo Retail Media API directly into your AI workflow. Manage your retail advertising campaigns, monitor line item performance, and track product data across your retailer and advertiser accounts using natural language.

Pydantic AI validates every Criteo Retail Media API tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Retail Campaign Management — List and retrieve detailed settings for all your retail media campaigns.
Line Item Monitoring — Access real-time configuration and performance for your retail line items.
Retailer & Product Discovery — Explore retail partners and products associated with your advertiser accounts.
Keyword & Performance Insights — Audit targeted keywords and request performance reports via chat.

The Criteo Retail Media API MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Criteo Retail Media API to Pydantic AI via MCP

Follow these steps to integrate the Criteo Retail Media API MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Criteo Retail Media API with type-safe schemas

Why Use Pydantic AI with the Criteo Retail Media API MCP Server

Pydantic AI provides unique advantages when paired with Criteo Retail Media API through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Criteo Retail Media API integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Criteo Retail Media API connection logic from agent behavior for testable, maintainable code

Criteo Retail Media API + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Criteo Retail Media API MCP Server delivers measurable value.

Type-safe data pipelines: query Criteo Retail Media API with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Criteo Retail Media API tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Criteo Retail Media API and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Criteo Retail Media API responses and write comprehensive agent tests

Criteo Retail Media API MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Criteo Retail Media API to Pydantic AI via MCP:

get_retail_campaign_details

Get detailed settings for a specific retail campaign

get_retail_media_report

Request a performance report for retail media

list_account_products

List products associated with a specific retail account

list_advertiser_accounts

List advertiser accounts managed in retail media

list_line_item_keywords

List keywords targeted by a specific line item

list_line_items

List all line items (ad groups) for retail campaigns

list_retail_budgets

List active budgets for retail media campaigns

list_retail_campaigns

List all retail media campaigns in Criteo

list_retailers

List retail partners available in your account

search_retail_campaigns_by_name

Search for retail campaigns by name keyword

Example Prompts for Criteo Retail Media API in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Criteo Retail Media API immediately.

"List all retail media campaigns for advertiser account 'a8s9df7'."

"Show me the keywords being targeted in line item 'l123abc'."

"Get a performance report for all retail campaigns from yesterday."

Troubleshooting Criteo Retail Media API MCP Server with Pydantic AI

Common issues when connecting Criteo Retail Media API to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Criteo Retail Media API + Pydantic AI FAQ

Common questions about integrating Criteo Retail Media API MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Criteo Retail Media API MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.