Criteo Retail Media API MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
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.
The largest ecosystem of integrations, chains, and agents — combine Criteo Retail Media API MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
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
Autonomous research agents: LangChain agents query Criteo Retail Media API, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Criteo Retail Media API tools with web scrapers, databases, and calculators in a single agent run
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:
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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Criteo Retail Media API to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCriteo Retail Media API + LangChain FAQ
Common questions about integrating Criteo Retail Media API MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Criteo Retail Media API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
