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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Criteo Retail Media API through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "criteo-retail-media-api": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Criteo Retail Media API, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Criteo Retail Media API
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.

LangChain's ecosystem of 500+ components combines seamlessly with Criteo Retail Media API through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Criteo Retail Media API via MCP

Why Use LangChain with the Criteo Retail Media API MCP Server

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

01

The largest ecosystem of integrations, chains, and agents — combine Criteo Retail Media API MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Criteo Retail Media API queries for multi-turn workflows

Criteo Retail Media API + LangChain Use Cases

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

01

RAG with live data: combine Criteo Retail Media API tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Criteo Retail Media API, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Criteo Retail Media API tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Criteo Retail Media API tool call, measure latency, and optimize your agent's performance

Criteo Retail Media API MCP Tools for LangChain (10)

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

01

get_retail_campaign_details

Get detailed settings for a specific retail campaign

02

get_retail_media_report

Request a performance report for retail media

03

list_account_products

List products associated with a specific retail account

04

list_advertiser_accounts

List advertiser accounts managed in retail media

05

list_line_item_keywords

List keywords targeted by a specific line item

06

list_line_items

List all line items (ad groups) for retail campaigns

07

list_retail_budgets

List active budgets for retail media campaigns

08

list_retail_campaigns

List all retail media campaigns in Criteo

09

list_retailers

List retail partners available in your account

10

search_retail_campaigns_by_name

Search for retail campaigns by name keyword

Example Prompts for Criteo Retail Media API in LangChain

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

01

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

02

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

03

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

Troubleshooting Criteo Retail Media API MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Criteo Retail Media API + LangChain FAQ

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

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Criteo Retail Media API to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.