How to Use the Digital Turbine MCP in Google ADK

Q: Can I use Digital Turbine with Google ADK for automated reporting?

You can set up a periodic task in your agent to call getrevenuereport. The results can be formatted and sent to your team or stored in your cloud storage bucket.

Integrate Digital Turbine with Google ADK to drive enterprise-grade mobile growth strategy using Gemini models.

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Connect Digital Turbine MCP to Google ADK

Create your Vinkius account to connect Digital Turbine 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 Digital Turbine with Google ADK

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Scale mobile growth strategy for Google ADK

Use the power of Gemini to parse your growth data. By feeding `list_growth_campaigns` into your Google ADK agent, you enable long-context reasoning over your entire acquisition portfolio. Your agent can compare `list_top_performing_apps` against your current growth targets. This helps you identify which apps need more attention based on the hard numbers reported by the API.

Query revenue reports directly in Google ADK

Your agent can now fetch revenue data without leaving your Google Cloud infrastructure. Using `get_revenue_report` provides the raw numbers needed for your internal financial models. Because this runs within the Google ADK, you can stream these results directly into BigQuery. It keeps your data pipeline clean and your reports up to date with zero manual intervention.

Manage campaign performance via Google ADK tools

Use `search_campaigns_by_name` to isolate specific campaigns during incident response or quarterly reviews. Your agent retrieves the necessary settings to understand why a specific campaign is trending. This capability provides deep insight into your performance metrics. It allows your agent to correlate changes in CTR from `get_performance_summary` with actual revenue outcomes, providing a clear picture of your campaign health.

Setup guide

Set up Digital Turbine 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 Digital Turbine 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="Digital Turbine_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Digital Turbine tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Digital Turbine MCP in Google ADK

You initialize the server using the McpToolset class and pass it to your LlmAgent. This gives your agent immediate access to all 10 Digital Turbine API functions.

Yes. The MCP server is compatible with standard Google ADK deployments on Vertex AI. You can restrict the tools available to your agent by using the tool_names filter.

You can set up a periodic task in your agent to call `get_revenue_report`. The results can be formatted and sent to your team or stored in your cloud storage bucket.

Security is handled via our V8 Isolate sandbox, ensuring your monetization status and app settings are never exposed. We isolate the execution environment to keep your enterprise data private.

The server retrieves campaign performance metrics, revenue figures, and app configuration settings. It does not process or retain any sensitive user-level data or personally identifiable information.

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