Criteo Retail Media API MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Criteo Retail Media API as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Criteo Retail Media API. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Criteo Retail Media API?"
)
print(response)
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.
LlamaIndex agents combine Criteo Retail Media API tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Criteo Retail Media API MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Criteo Retail Media API
Why Use LlamaIndex with the Criteo Retail Media API MCP Server
LlamaIndex provides unique advantages when paired with Criteo Retail Media API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Criteo Retail Media API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Criteo Retail Media API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Criteo Retail Media API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Criteo Retail Media API tools were called, what data was returned, and how it influenced the final answer
Criteo Retail Media API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Criteo Retail Media API MCP Server delivers measurable value.
Hybrid search: combine Criteo Retail Media API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Criteo Retail Media API to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Criteo Retail Media API for fresh data
Analytical workflows: chain Criteo Retail Media API queries with LlamaIndex's data connectors to build multi-source analytical reports
Criteo Retail Media API MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Criteo Retail Media API to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Criteo Retail Media API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCriteo Retail Media API + LlamaIndex FAQ
Common questions about integrating Criteo Retail Media API MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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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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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.