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How to Use the Apple Search Ads MCP in Google ADK

Use Google ADK to analyze Apple Search Ads data with Gemini's long-context reasoning, right inside your Google Cloud environment.

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Google ADK

Connect Apple Search Ads MCP to Google ADK

Create your Vinkius account to connect Apple Search Ads 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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Feed Ad Reports Directly into BigQuery

Your Gemini agent can pull campaign, ad group, and keyword reports using tools like `get_campaign_report` and `get_keyword_report`. The real advantage is piping this data straight into a BigQuery table. Forget about writing separate ETL scripts. Because you're using Google ADK, your agent is a native citizen of your GCP project. It can reason over huge datasets, connecting your Apple Search Ads performance with other business data you already have stored in Google Cloud.

Analyze All Your Keywords at Once

Use `list_campaigns` and `list_keywords` to pull a complete list of every keyword you're bidding on across your entire account. A normal model might choke on that much data, but Gemini's 1M+ token context window handles it easily. This lets your agent do an account-wide analysis in one shot. It can find trends, spot duplicate keywords in different campaigns, or summarize your overall strategy. This MCP Server gives you the data; your Gemini agent finds the patterns.

Run Your MCP Server on Your Own Infra

This isn't some black-box service. The Google ADK lets you run agents on your own Vertex AI setup. The tools in this server, like `get_ad_group_report` and `get_search_term_report`, become secure functions your agents can call within your project. When your agent uses the `get_me` tool, it's just checking the authenticated user for that specific connection. All the real work—the reasoning and data processing—happens inside your own Google Cloud project. You have total control.

Setup guide

Set up Apple Search Ads 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Apple Search Ads 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="Apple Search Ads_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Apple Search Ads tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apple Search Ads. 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 Apple Search Ads MCP in Google ADK

You instantiate an `McpToolset` and pass it your Vinkius server URL. Then you give that toolset to your `LlmAgent` in its `tools` parameter. The agent discovers the available functions automatically.
Yes, that's exactly what it's for. Your agent can use this MCP server to fetch Apple Search Ads reports and then use native BigQuery tools to query your own data, comparing the results in a single chain of thought.
When you set up the `McpToolset`, you can use the optional `tool_names` filter. Just provide a list of the tool names you want to expose, like `['get_campaign_report', 'get_keyword_report']`, and the agent won't see the others.
Yes. The Google ADK is designed for the Gemini ecosystem. You can use any Gemini model as the brain for your agent, taking full advantage of features like the long-context window for analyzing large reports.
The server only touches your Apple Search Ads campaign data, like performance reports and keyword lists, plus basic organization info via `get_me`. Your data is processed within your own GCP environment, and Vinkius's ephemeral servers don't hold onto it.

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