Criteo Marketing 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 Marketing API as an MCP tool provider through 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 Marketing API. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Criteo Marketing 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 Marketing API MCP Server
Integrate the Criteo Marketing API directly into your AI workflow. Manage your commerce marketing campaigns, monitor ad set performance, and track budgets and creatives across your advertiser accounts using natural language.
LlamaIndex agents combine Criteo Marketing API tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through 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
- Campaign Management — List and retrieve detailed settings for all your marketing campaigns.
- Performance Monitoring — Access real-time statistics and analytics for your ad sets and creatives.
- Budget Tracking — Monitor active budgets and spend across your advertiser portfolio.
- Audience Insights — Explore target audiences and available audience segments via chat.
The Criteo Marketing 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 Marketing API to LlamaIndex via MCP
Follow these steps to integrate the Criteo Marketing 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 Marketing API
Why Use LlamaIndex with the Criteo Marketing API MCP Server
LlamaIndex provides unique advantages when paired with Criteo Marketing API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Criteo Marketing API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Criteo Marketing API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Criteo Marketing API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Criteo Marketing API tools were called, what data was returned, and how it influenced the final answer
Criteo Marketing API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Criteo Marketing API MCP Server delivers measurable value.
Hybrid search: combine Criteo Marketing API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Criteo Marketing 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 Marketing API for fresh data
Analytical workflows: chain Criteo Marketing API queries with LlamaIndex's data connectors to build multi-source analytical reports
Criteo Marketing API MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Criteo Marketing API to LlamaIndex via MCP:
get_ad_set_details
Get detailed configuration for an ad set
get_campaign_details
Get detailed settings for a specific campaign
get_marketing_statistics
Retrieve performance statistics for campaigns or ad sets
list_ad_creatives
List all ad creatives (banners, videos, etc.)
list_ad_sets
List all ad sets (groups) within campaigns
list_advertisers
List advertisers managed in your account
list_audience_segments
List available audience segments
list_audiences
List target audiences for your campaigns
list_marketing_budgets
List active budgets and their spend
list_marketing_campaigns
List all marketing campaigns in Criteo
Example Prompts for Criteo Marketing API in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Criteo Marketing API immediately.
"List all active marketing campaigns in my Criteo account."
"Show me the performance statistics for ad set 's8s9df7' from last week."
"List all target audiences available for my advertisers."
Troubleshooting Criteo Marketing API MCP Server with LlamaIndex
Common issues when connecting Criteo Marketing API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCriteo Marketing API + LlamaIndex FAQ
Common questions about integrating Criteo Marketing 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 Marketing 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 Marketing API to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.