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

Build resilient Criteo ad workflows with Mastra AI and conditional branching.

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Connect Criteo Retail Media API MCP to Mastra AI

Create your Vinkius account to connect Criteo Retail Media API to Mastra 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 Mastra AI

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Resilient Campaign Reporting

This MCP server lets Mastra AI pull ad metrics reliably even when external endpoints time out. Your workflow can call `get_retail_media_report` on a schedule to aggregate daily performance numbers. If the initial request fails, the framework's exponential backoff kicks in automatically. Once the data arrives, you can loop through the results and trigger `list_retail_budgets` to compare spend against allocated funds.

Audit Ad Groups via MCP Server

Checking ad configurations manually wastes hours of media buyer time. You can wire up an agent to run `list_retail_campaigns` and fetch every active initiative across your organization. The script then dives deeper into the structure. It fires `list_line_items` to grab ad groups, followed by `list_line_item_keywords` to verify that no negative search terms slipped into the targeting parameters.

Map Products to Advertisers

Keeping track of which SKUs belong to which brand requires constant updates. By chaining `list_advertiser_accounts` with `list_retailers`, your agent maps the entire account hierarchy. Fetching the actual inventory is the final step in the chain. The workflow executes `list_account_products` to confirm the right items are eligible for promotion before launching any new ads.

Setup guide

Set up Criteo Retail Media API MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Criteo Retail Media API tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "criteo-retail-media-api-mcp-client",
  servers: {
    "criteo-retail-media-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Criteo Retail Media API Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Criteo Retail Media API tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Criteo Retail Media API transactions"
);
console.log(result.text);

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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 Mastra AI

Pass your Vinkius endpoint URL into the servers object when creating a new MCPClient. Mastra automatically detects the transport layer and loads the tools.

Built-in retry logic handles connection drops automatically. If a budget fetch times out, the framework waits and tries again based on your configured backoff settings.

Pass a target string to the campaign search tool. The agent retrieves matching records so your workflow can process them conditionally.

You can flag specific tools like the campaign details endpoint to require approval. The workflow pauses until a human reviews the action.

Every request runs in a zero-trust, ephemeral environment. Your financial limits and spend metrics are processed in memory and immediately discarded after the workflow completes.

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