AdRoll MCP Server for CrewAI 5 tools — connect in under 2 minutes
Connect your CrewAI agents to AdRoll through Vinkius, pass the Edge URL in the `mcps` parameter and every AdRoll tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="AdRoll Specialist",
goal="Help users interact with AdRoll effectively",
backstory=(
"You are an expert at leveraging AdRoll 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 AdRoll "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 5 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 AdRoll MCP Server
Connect your AdRoll (NextRoll) account to your AI agent to unlock professional e-commerce marketing and retargeting orchestration. From auditing your advertisable accounts to monitoring real-time campaign performance and managing creative ad assets, your agent handles your advertising ecosystem through natural conversation.
When paired with CrewAI, AdRoll becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call AdRoll 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 details for active campaigns across multiple channels (Web, Facebook, etc.)
- Account Auditing — List your 'Advertisables' (advertiser accounts) and retrieve technical metadata for each
- Performance Reporting — Retrieve granular statistics on clicks, spend, and conversions to monitor your marketing ROI
- Creative Asset Oversight — List and audit your ad creatives (banners, videos) to ensure your visual content is optimized
- Strategy Insights — Quickly identify high-performing strategies and identify areas for budget optimization directly from chat
The AdRoll MCP Server exposes 5 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 AdRoll to CrewAI via MCP
Follow these steps to integrate the AdRoll 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 5 tools from AdRoll
Why Use CrewAI with the AdRoll MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with AdRoll 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
AdRoll + CrewAI Use Cases
Practical scenarios where CrewAI combined with the AdRoll MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries AdRoll 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 AdRoll, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain AdRoll 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 AdRoll against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
AdRoll MCP Tools for CrewAI (5)
These 5 tools become available when you connect AdRoll to CrewAI via MCP:
get_campaign_details
Get campaign metadata
get_performance_report
Filterable by EID and date. Get performance statistics
list_ads
List ad creatives
list_advertisables
List advertiser accounts
list_campaigns
List active campaigns
Example Prompts for AdRoll in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with AdRoll immediately.
"List all active advertisable accounts in my AdRoll organization."
"Show me the performance of my Web Retargeting campaign for the last 7 days."
"List all ad creatives for advertisable EID 'AD1234567890'."
Troubleshooting AdRoll MCP Server with CrewAI
Common issues when connecting AdRoll to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
AdRoll + CrewAI FAQ
Common questions about integrating AdRoll MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect AdRoll 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 AdRoll to CrewAI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.