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AdButler MCP Server for CrewAIGive CrewAI instant access to 10 tools to Check Adbutler Status, Get Advertiser, Get Campaign, and more

Built by Vinkius GDPR 10 Tools Framework

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

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The AdButler app connector for CrewAI is a standout in the Marketing Automation category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="AdButler Specialist",
    goal="Help users interact with AdButler effectively",
    backstory=(
        "You are an expert at leveraging AdButler 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 AdButler "
        "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)
AdButler
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* 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 AdButler MCP Server

Connect your AdButler account to any AI agent and take full control of your ad server orchestration and automated display advertising through natural conversation.

When paired with CrewAI, AdButler becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call AdButler 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 & Ad Portfolio Orchestration — List and manage your entire high-fidelity portfolio of advertisers and campaigns programmatically, retrieving detailed technical metadata
  • Banner & Creative Intelligence — Programmatically retrieve directories of banners and access complete high-fidelity asset metadata to coordinate your organizational broadcasting
  • Performance Architecture Monitoring — Access real-time status updates for active banners and track impression/click metrics directly through your agent
  • Metadata Management — Programmatically retrieve high-fidelity zone IDs and publisher metadata to maintain a perfectly coordinated ad inventory record
  • Operational Monitoring — Verify account-level API connectivity and monitor orchestration volume directly through your agent for perfectly coordinated service scaling

The AdButler 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.

All 10 AdButler tools available for CrewAI

When CrewAI connects to AdButler through Vinkius, your AI agent gets direct access to every tool listed below — spanning ad-server, campaign-management, impression-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_adbutler_status

Verify AdButler API connectivity

get_advertiser

Get advertiser details

get_campaign

Get campaign details

get_stats

Get ad serving statistics

list_advertisers

List all advertisers

list_banners

List ad items in a campaign

list_campaigns

List all campaigns

list_placements

List all placements

list_publishers

List all publishers

list_zones

List all ad zones

Connect AdButler to CrewAI via MCP

Follow these steps to wire AdButler into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from AdButler

Why Use CrewAI with the AdButler MCP Server

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

01

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

02

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

03

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

04

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

AdButler + CrewAI Use Cases

Practical scenarios where CrewAI combined with the AdButler MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Example Prompts for AdButler in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with AdButler immediately.

01

"List all active advertisers in my AdButler account."

02

"Show the performance for 'Banner A' from yesterday."

03

"Check for any campaigns expiring this week."

Troubleshooting AdButler MCP Server with CrewAI

Common issues when connecting AdButler to CrewAI through the Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

AdButler + CrewAI FAQ

Common questions about integrating AdButler MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.