How to Use the Digital Turbine MCP in CrewAI

Q: Can a CrewAI analyst agent search Digital Turbine campaigns by name?

Yes. Your analyst agent can run searchcampaignsbyname using specific keywords. This lets the crew target and audit specific promotional efforts without scanning your entire account.

Deploy specialized CrewAI agent teams to analyze Digital Turbine ad spend and optimize mobile monetization autonomously.

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Connect Digital Turbine MCP to CrewAI

Create your Vinkius account to connect Digital Turbine 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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Setup Digital Turbine with CrewAI

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Multi-agent campaign audits with this MCP Server

Your researcher agent calls `list_growth_campaigns` to gather all active mobile campaigns for your crew using this MCP tool. Let specialized agents divide and conquer your marketing data. The analyst agent then runs `get_campaign_analytics` on individual targets. This structured collaboration ensures you get a detailed performance assessment without a single manual database query.

Autonomous monetization monitoring crews

A discovery agent uses `list_monetized_apps` to map out every active application integrated with the platform. Set up a dedicated crew to watch over your mobile app portfolio. It passes that map to a monetization specialist agent, which calls `get_app_monetization_details` to verify active ad placements. If a placement goes offline, the agent alerts your engineering team instantly.

Hierarchical portfolio revenue reviews

The manager agent coordinates your crew by instructing a data collector to run `get_revenue_report` for the week. Manage your portfolio earnings using a structured manager-agent hierarchy. Simultaneously, another agent executes `list_top_performing_apps` to isolate the top revenue drivers. The crew compiles these insights into a unified report, giving you a clear view of your operational health.

Setup guide

Set up Digital Turbine MCP in CrewAI

Prerequisites

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

1

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

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

crew.py

from crewai import Agent, Task, Crew

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

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

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Digital Turbine Analyst",
        goal="Access and analyze Digital Turbine data via MCP.",
        backstory="Expert analyst with direct Digital Turbine access.",
        tools=mcp_tools,
    )

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Digital Turbine. 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 Digital Turbine MCP in CrewAI

You can pass your Vinkius HTTP endpoint directly into the agent's mcps list during initialization. The agent automatically discovers tools like `get_performance_summary` via the MCP connection and uses them to pull live metrics.

Yes. Your analyst agent can run `search_campaigns_by_name` using specific keywords. This lets the crew target and audit specific promotional efforts without scanning your entire account.

CrewAI agents use shared memory to pass tool outputs. When one agent runs `list_high_engagement_campaigns`, the resulting performance data is instantly available to other agents in the crew for further analysis.

The server supports stdio, SSE, and Streamable HTTP transports. For production multi-agent teams, the Streamable HTTP option hosted on Vinkius provides the most stable connection for distributed agents.

No. Your API keys are managed securely on the Vinkius platform, not inside your CrewAI codebase. The MCP Server executes in an isolated V8 sandbox, ensuring your campaign performance metrics and financial data remain strictly confidential.

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