How do I get Criteo API credentials?

Log in to the Criteo Developer Portal, create a new app, and you will be provided with a Client ID and Client Secret.

Which version of the API is used?

This integration uses the 2024-04 version of the Criteo Marketing API, ensuring access to the latest features and data structures.

Can I retrieve reporting data?

Yes, you can use the get_marketing_statistics tool to retrieve performance reports based on custom dimensions and metrics.

Criteo Marketing API MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Criteo Marketing API
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Criteo Marketing API through Vinkius, pass the Edge URL in the `mcps` parameter and every Criteo Marketing API tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Criteo Marketing API Specialist",
    goal="Help users interact with Criteo Marketing API effectively",
    backstory=(
        "You are an expert at leveraging Criteo Marketing API tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Criteo Marketing API "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Criteo Marketing API becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Criteo Marketing API tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Criteo Marketing API MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Criteo Marketing API

Why Use CrewAI with the Criteo Marketing API MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Criteo Marketing API through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Criteo Marketing API + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Criteo Marketing API MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Criteo Marketing API for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Criteo Marketing API, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Criteo Marketing API tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Criteo Marketing API against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Criteo Marketing API MCP Tools for CrewAI (10)

These 10 tools become available when you connect Criteo Marketing API to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Criteo Marketing API to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Criteo Marketing API + CrewAI FAQ

Common questions about integrating Criteo Marketing API MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.