How to Use the Criteo Marketing API MCP in Pydantic AI

Q: How do I implement Criteo Marketing API in Pydantic AI?

Install the MCP-compatible package and use the MCPToolset to connect to the server. Your agent then uses these tools to interact with Criteo, with every response validated by your Pydantic models.

Type-safe Criteo Marketing API control for Pydantic AI. Validate every campaign request at runtime.

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Connect Criteo Marketing API MCP to Pydantic AI

Create your Vinkius account to connect Criteo Marketing 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 Marketing API with Pydantic AI

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Claude

Perplexity

Typed campaign data for Pydantic AI

Your agent queries `list_marketing_campaigns` and `get_campaign_details` with strict schema enforcement. Any unexpected API response triggers an immediate validation error. You gain total confidence that the data your agent processes matches your expected Pydantic models. This avoids silent failures when the Criteo API structure changes.

Budget and performance auditing

The agent fetches financial records using `list_marketing_budgets` and `get_marketing_statistics`. It validates the returned numbers against your defined types. Because you use Pydantic AI, the agent refuses to act on malformed data. It ensures your budget reporting remains accurate and reliable at every step.

Reliable ad management

Your agent lists creatives using `list_ad_creatives` and validates them against your internal content types. It maintains a strict inventory of your active assets. It also uses `list_advertisers` to verify account scope before executing any changes. You get a type-safe interface for all your Criteo interactions.

Setup guide

Set up Criteo Marketing 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-marketing-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 Marketing API tools.",
)

result = await agent.run("List recent Criteo Marketing 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 Marketing. 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 Marketing API MCP in Pydantic AI

Install the MCP-compatible package and use the `MCPToolset` to connect to the server. Your agent then uses these tools to interact with Criteo, with every response validated by your Pydantic models.

Yes, if the server returns data that doesn't match your schema, the agent throws a validation error. This prevents hallucinations and corrupted state in your marketing logic.

You can connect any model—local or hosted—to the framework. The validation happens at the runtime layer, so your choice of LLM doesn't compromise data integrity.

The server must be running externally via Streamable HTTP or SSE. You point your Pydantic AI agent at the endpoint, and it handles the communication automatically.

Your marketing records and advertiser details are handled through encrypted, ephemeral channels. We don't store your credentials; the server uses a single endpoint token to authorize requests, and all data is wiped as soon as your agent finishes its task.

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