How to Use the AppLovin MCP in Google ADK

Q: How do I initialize the AppLovin tools in Google ADK?

Use the McpToolset class with StreamableHttpServerParameters. Pass the Vinkius URL, then hand the toolset to your LlmAgent constructor.

Q: Can Google ADK filter which AppLovin tools the agent sees?

You can restrict access using the optional toolnames parameter. This lets you expose getmaxreport while hiding getuseradrevenuereport from specific agents.

Feed AppLovin campaign metrics directly into Google ADK agents using the Gemini long-context window.

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Connect AppLovin MCP to Google ADK

Create your Vinkius account to connect AppLovin to Google ADK 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 Google ADK

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Analyze massive AppLovin MCP Server datasets

The `get_max_report` tool pulls raw aggregated mediation performance data straight into your Google Cloud environment. Gemini models ingest months of this tabular data at once thanks to their massive context windows. You pass the `McpToolset` directly to your `LlmAgent` configuration. The agent reads the AppLovin columns, maps the performance trends, and can immediately format the output for ingestion into BigQuery tables.

Cross-reference cohorts with Vertex AI

Executing `get_max_cohort_report` allows your agent to fetch detailed user retention metrics from MAX. Enterprise teams use this MCP Server to feed fresh cohort data into custom predictive models hosted on Vertex AI. Combine this with `get_app_discovery_report` to track UA campaign spend. The agent looks at the AppDiscovery data, correlates it with the cohort LTV, and outputs a structured analysis without leaving the Google Cloud ecosystem.

Map campaigns and user ad revenue

Your Gemini agent runs `list_campaigns` and `list_apps` to establish the baseline of your current ad portfolio. It then drills down using `get_user_ad_revenue_report` to analyze impression-level monetization. Restrict the exposed endpoints using the `tool_names` filter if you only want the agent reading campaign lists. Always start your cloud run with `get_account_check` to ensure the Vinkius endpoint token is active before pulling heavy reports.

Setup guide

Set up AppLovin MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with AppLovin tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="AppLovin_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AppLovin tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

Use the `McpToolset` class with `StreamableHttpServerParameters`. Pass the Vinkius URL, then hand the toolset to your `LlmAgent` constructor.

You can restrict access using the optional `tool_names` parameter. This lets you expose `get_max_report` while hiding `get_user_ad_revenue_report` from specific agents.

Gemini handles over a million tokens. You can pull extensive `get_app_discovery_report` outputs and the model will process the entire UA performance history in one pass.

The framework supports both Stdio and HTTP transports natively. You configure the HTTP connection to the MCP Server during the initial setup phase.

Vinkius isolates your UA campaign metrics and ad revenue reports within an ephemeral V8 environment. The zero-trust architecture ensures your Google Cloud service account never exposes its internal credentials to the server.

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