How to Use the Criteo Marketing API MCP in LlamaIndex

Q: Can I use LlamaIndex to query historical Criteo Marketing API statistics?

Yes. You can set up a recurring task that calls getmarketingstatistics and indexes the results. This lets you run semantic queries over historical performance trends.

Q: Is it possible to filter which Criteo Marketing API tools LlamaIndex can access?

Yes, you can use the allowedtools filter in the LlamaIndex MCP client. This restricts your agent to safe tools like listadsets while blocking budget changes.

Index live Criteo ad performance and campaign data using this MCP Server in your LlamaIndex pipeline.

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Connect Criteo Marketing API MCP to LlamaIndex

Create your Vinkius account to connect Criteo Marketing API to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Criteo Marketing API with LlamaIndex

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Index live Criteo metrics into LlamaIndex vector stores

This MCP Server lets your LlamaIndex agent pull active performance data using `get_marketing_statistics` and save it directly into your vector database. LlamaIndex excels at turning raw data into searchable knowledge. Instead of relying on static reports, your agent queries this dynamic index to answer complex questions. You get answers grounded in real-time spend and conversion data.

Build RAG pipelines for Criteo ad creatives

This MCP Server feeds your LlamaIndex pipeline with current banner and video metadata using `list_ad_creatives`. Finding the right creative assets shouldn't require manual database searches. Your agent can then match user queries to the best-performing creative assets. It bridges the gap between raw files and active campaign deployments.

Query audience segments semantically using LlamaIndex

This MCP Server exposes audience targeting rules through `list_audience_segments` and `list_audiences` so you can build a semantic map of your targets. Stop guessing which audience targeting rules are active. When building new campaigns, your LlamaIndex pipeline searches this map to find matching groups. This prevents duplicate audience creation and keeps targeting clean.

Setup guide

Set up Criteo Marketing API MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Criteo Marketing API MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Criteo Marketing API tools.",
)
response = await agent.run("List recent Criteo Marketing API data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Criteo Marketing. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Criteo Marketing API MCP in LlamaIndex

You use the LlamaIndex MCP tool spec to load the tools into your agent. The agent calls tools like list_marketing_campaigns and indexes the JSON output directly into your document store.

Yes. You can set up a recurring task that calls get_marketing_statistics and indexes the results. This lets you run semantic queries over historical performance trends.

Yes, you can use the allowed_tools filter in the LlamaIndex MCP client. This restricts your agent to safe tools like list_ad_sets while blocking budget changes.

The LlamaIndex tool spec supports async operations natively. You just call the async tool list generation during your agent initialization.

Your audience segments and targeting details are processed in memory within a secure sandbox. Vinkius never caches or logs the actual customer identifiers, keeping your audience data private.

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