How to Use the Mobile Action MCP in Google ADK

Q: Does Mobile Action work with Google ADK's BigQuery integrations?

You can write a custom agent that pulls app data via getappinfo and writes the JSON payload directly into a BigQuery table. This connects live store metrics with your internal data warehouse.

Run enterprise app store analysis on Google ADK by connecting real-time market data to your Gemini models.

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Connect Mobile Action MCP to Google ADK

Create your Vinkius account to connect Mobile Action 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 Mobile Action with Google ADK

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Extract market estimations with Google ADK

The `get_market_estimations` tool delivers download and revenue metrics directly to your Gemini-powered agent. Your enterprise pipeline can load this raw data straight into BigQuery for long-term trend analysis. Combining this MCP Server with Google ADK lets you run deep reasoning over massive datasets. Gemini's large context window processes months of revenue history in a single turn.

Monitor rating history in Google ADK

The `get_rating_history` tool tracks customer sentiment trends and reviews over specific time intervals. Your agent reads these ratings to detect sudden drops that follow product updates. Since Google ADK supports selective tool exposure, you can restrict your sentiment-analysis agent to only see this tool and `get_app_reviews`. This limits token usage and keeps your agent focused on customer feedback.

Discover competitive keyword opportunities via MCP

The `get_related_keywords` tool finds high-volume search phrases based on your current app store presence. Your agent analyzes these suggestions to build updated metadata drafts for your next release. By feeding these terms into your Google ADK setup, you can cross-reference them with your existing search campaigns. The agent builds a prioritized list of target keywords based on actual search volume.

Setup guide

Set up Mobile Action 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 Mobile Action 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="Mobile Action_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mobile Action 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 Mobile Action. 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 Mobile Action MCP in Google ADK

Use the McpToolset class with your Vinkius HTTP URL to load all 12 tools instantly. Pass this toolset into your LlmAgent configuration to make them accessible to Gemini.

Yes, you can pass a list of allowed tool names to the parameters to restrict access. This prevents your agent from running expensive queries like `get_ad_creatives` if it only needs keyword data.

You can write a custom agent that pulls app data via `get_app_info` and writes the JSON payload directly into a BigQuery table. This connects live store metrics with your internal data warehouse.

Yes, the framework natively supports both standard HTTP and Stdio transports. You can configure your agent to call external APIs directly through the Vinkius gateway.

Vinkius hosts the MCP Server in a secure, ephemeral sandbox where your secret tokens are injected at runtime. Your Google Cloud environment only sees the clean JSON output of app store trends, never the raw credentials.

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