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How to Use the Adtelligent MCP in CrewAI

Run an autonomous programmatic ad team by connecting CrewAI agents to your Adtelligent marketing tools.

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CrewAI

Connect Adtelligent MCP to CrewAI

Create your Vinkius account to connect Adtelligent to CrewAI 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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Autonomous DSP Campaign Auditing in CrewAI

Deploy a specialized CrewAI team to manage your Adtelligent programmatic inventory. An analyst agent uses `list_campaigns` to pull active DSP setups, while a controller agent evaluates the budget distribution. The agents collaborate in real-time to flag underperforming programmatic assets. This CrewAI multi-agent setup replaces manual advertising spreadsheets. Because the crew shares memory, the controller agent remembers previous campaign statuses while checking new data, preventing duplicate API calls and saving your API quota.

Collaborative SSP Performance Reports

Let your CrewAI agents handle complex Adtelligent programmatic reporting tasks. A data collector agent calls `get_ssp_report` to get raw yield metrics. It then hands this data to a writer agent who formats a clean summary of SSP yield metrics for your Slack channel. You don't have to coordinate the handoff between programmatic agents. CrewAI handles the sequential execution, passing the SSP stats from one agent to the next while maintaining context and authentication headers.

Automated Advertiser Directory Management

Keep your Adtelligent DSP accounts organized across multiple business units using CrewAI. A manager agent coordinates a search using `list_advertisers` to verify active partners. It then directs a researcher agent to look up missing contact info for newly created programmatic accounts. The CrewAI agents work in parallel or hierarchy depending on your setup. They use the MCP Server to pull live account data directly into their shared workspace, ensuring they always make decisions based on real-time facts.

Setup guide

Set up Adtelligent MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Adtelligent tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Adtelligent Analyst",
    goal="Access and analyze Adtelligent data via MCP.",
    backstory="Expert analyst with direct Adtelligent access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Adtelligent transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Adtelligent MCP in CrewAI

You pass the Vinkius server URL directly to your agent's `mcps` parameter during initialization. This instantly exposes tools like `list_campaigns` to your specialized crew.
Yes. When an agent pulls performance stats via `get_ssp_report`, the data enters the crew's shared memory, allowing other agents to analyze it immediately.
You can set up a hierarchical crew where a manager agent delegates `list_advertisers` tasks to subordinate agents, ensuring structured execution of your ad ops.
CrewAI supports SSE, stdio, and HTTP. When talking to Vinkius, it uses Streamable HTTP to fetch your campaign data and SSP metrics securely over the MCP connection.
Yes. The crew communicates with the server inside an ephemeral V8 sandbox. Your advertiser names and SSP revenue metrics are processed in memory and never stored, keeping your MCP operations secure.

Start using the Adtelligent MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 3 tools

We've already built the connector for Adtelligent. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 3 tools are live and waiting. You're up and running in seconds.

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