How to Use the AppLovin MCP in CrewAI

Q: Can a CrewAI team monitor AppLovin?

Yes, you assign tools like getmaxreport to specific agents. They then share the results through the crew's memory.

Deploy specialized agent crews to manage your AppLovin performance monitoring.

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Connect AppLovin MCP to CrewAI

Create your Vinkius account to connect AppLovin 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 AppLovin with CrewAI

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CrewAI manages MAX reports

Assign a dedicated analyst agent to run `get_max_report` every hour. It compares the results against previous days and flags anomalies to the lead agent. This keeps your team focused on strategy rather than pulling spreadsheets. The crew handles the data gathering autonomously.

AppLovin UA monitoring with CrewAI

Use a researcher agent to call `list_campaigns` and `get_app_discovery_report`. It gathers the latest stats and hands them off to the strategist agent. Your agents collaborate to find which campaigns are burning money. They work together to save you time.

Verify account health in CrewAI

Set a monitor agent to run `get_account_check` at the start of every shift. If the connection fails, it alerts your engineer agent to fix the integration. It prevents silent failures in your reporting pipeline. The crew keeps watch so you don't have to.

Setup guide

Set up AppLovin 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 AppLovin tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent AppLovin 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="AppLovin Analyst",
        goal="Access and analyze AppLovin data via MCP.",
        backstory="Expert analyst with direct AppLovin access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AppLovin 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 AppLovin. 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 AppLovin MCP in CrewAI

Yes, you assign tools like `get_max_report` to specific agents. They then share the results through the crew's memory.

You pass the server URL to the agent configuration. The agents then call the tools as part of their assigned tasks.

Shared memory allows your agents to pass reports around. One agent fetches the data, and another interprets the revenue trends.

Vinkius uses ephemeral sessions for your connection. Your login credentials are never visible to the agents themselves.

The agents can pull MAX cohorts, ad revenue, and campaign performance. They treat this data as raw input for their decision-making.

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