Criteo Retail Media API MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Criteo Retail Media API through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Criteo Retail Media API, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Criteo Retail Media API tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Criteo Retail Media API MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Criteo Retail Media API and passes them to the LLM
Why Use Vercel AI SDK with the Criteo Retail Media API MCP Server
Vercel AI SDK provides unique advantages when paired with Criteo Retail Media API through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Criteo Retail Media API integration everywhere
Built-in streaming UI primitives let you display Criteo Retail Media API tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Criteo Retail Media API + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Criteo Retail Media API MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Criteo Retail Media API in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Criteo Retail Media API tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Criteo Retail Media API capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Criteo Retail Media API through natural language queries
Criteo Retail Media API MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Criteo Retail Media API to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Criteo Retail Media API to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCriteo Retail Media API + Vercel AI SDK FAQ
Common questions about integrating Criteo Retail Media API MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Criteo Retail Media API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Criteo Retail Media API to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.