How to Use the AppTweak MCP in Google ADK

Q: How do I connect Google ADK to the AppTweak MCP Server?

Just install the SDK, then create an McpToolset using the server URL from your Vinkius dashboard. Pass that toolset when you initialize your LlmAgent. The agent can now call all the AppTweak tools.

Q: Can I use Google ADK and AppTweak to analyze my app's category ranking?

Yes. Your agent calls getcategoryrankings to get historical ranking data from AppTweak. Since it's all in your Google Cloud environment, you can have the agent immediately cross-reference that data with campaign dates you have stored in BigQuery.

Q: How can I limit which tools my agent uses with AppTweak and Google ADK?

Use the toolnames filter when you create the McpToolset. This lets you give an agent access to only getappreviews for sentiment analysis, for example, without exposing the other AppTweak functions.

Connect Google ADK agents to AppTweak for real-time ASO data. Pull rankings and keyword stats directly into your Google Cloud workflow.

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Connect AppTweak MCP to Google ADK

Create your Vinkius account to connect AppTweak 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 AppTweak with Google ADK

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Feed ASO data directly into BigQuery

Your Gemini-powered agent can now fetch app store intelligence. It uses `get_app_metadata` for core details and `get_download_estimates` for competitor download numbers. Because Google ADK is native to Google Cloud, your agent can take that data and write it straight to a BigQuery table. That means no more exporting CSVs or running manual import jobs just to analyze market data.

Use long-context reasoning on app reviews

Your agent can pull hundreds of app reviews at once by calling `get_app_reviews`. This gives you a big block of raw text data to work with. Now for the interesting part. You can feed all of those reviews into a Gemini model with a 1M+ token context window. Ask your Google ADK agent to summarize sentiment, find bug trends, or spot feature requests across the entire dataset in a single prompt.

Automate keyword research with your Google ADK agent

This MCP Server gives your agent access to `get_keyword_suggestions` and `get_keyword_volume`. It can find new keywords for your app and immediately check their search volume and difficulty. This plugs right into an enterprise workflow. You can trigger your agent from a Google Cloud Function to run keyword analysis, then store the best results in a database. You can even restrict the agent to specific functions using the `tool_names` filter in the `McpToolset`.

Setup guide

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

Just install the SDK, then create an `McpToolset` using the server URL from your Vinkius dashboard. Pass that toolset when you initialize your `LlmAgent`. The agent can now call all the AppTweak tools.

Yes. Your agent calls `get_category_rankings` to get historical ranking data from AppTweak. Since it's all in your Google Cloud environment, you can have the agent immediately cross-reference that data with campaign dates you have stored in BigQuery.

Use the `tool_names` filter when you create the `McpToolset`. This lets you give an agent access to only `get_app_reviews` for sentiment analysis, for example, without exposing the other AppTweak functions.

It is. You aren't writing a custom API client. You're giving your agent a toolset that works over the Model Context Protocol (MCP). The ADK handles the calls and Vinkius manages the server, so you just focus on your agent's logic.

The agent sends your target app IDs, package names, and keywords to the AppTweak MCP server. This all happens inside a dedicated, single-use V8 sandbox managed by Vinkius. The connection is stateless and never touches your Google Cloud credentials.

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