How to Use the Microsoft Ads MCP in Google ADK

Q: Can I combine Microsoft Ads data with BigQuery using Google ADK?

Yes. Your agent can fetch live data using getmsaccountinfo and run SQL queries against BigQuery in the same execution loop to compare performance.

Q: Does Google ADK support filtering Microsoft Ads tools?

Yes, you can use the toolnames parameter to limit exposure. For instance, you can expose only listmsbudgets to keep the agent focused on budget monitoring.

Q: How does Gemini handle large lists of ads?

Gemini's long context easily processes the output of listmsads. The agent can analyze thousands of ad variations in a single turn without running out of memory.

Q: Is my Microsoft Ads keyword data safe from model training?

Absolutely. Your keyword data, fetched via listmskeywords, is processed in a zero-trust environment. Vinkius handles the credentials securely, and Google ADK ensures that live API payloads are never used to train foundational models.

Build enterprise Gemini agents that analyze Microsoft Ads data alongside BigQuery using Google ADK and this MCP Server.

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Connect Microsoft Ads MCP to Google ADK

Create your Vinkius account to connect Microsoft 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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Setup Microsoft Ads with Google ADK

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Enterprise Campaign Audits via Google ADK

The `list_ms_campaigns` tool retrieves your active Microsoft Ads campaign structures directly into your Google ADK pipeline. This lets Gemini analyze your ad setup using its massive one-million-token context window. You can feed these campaign lists straight into Vertex AI for predictive modeling. The agent uses `get_ms_campaign_details` to pull specific configurations, comparing them against historical performance stored in BigQuery.

Ad Group Analysis with Google ADK

This MCP Server uses `list_ms_ad_groups` to extract target groups and pass them to your Gemini-powered agent. The agent maps these groups to your Google Cloud data pipeline for cross-channel attribution. By calling `get_ms_ad_group_details`, the agent gets granular targeting rules. This helps you find overlap between your search campaigns and display networks.

Keyword Performance Modeling

Use `list_ms_keywords` to pull search queries directly into your Google ADK agent. Your agent can cross-reference these keywords with organic search data stored in Google Cloud. This MCP setup lets the agent use `list_ms_ads` to check which creatives run alongside those keywords. It then flags underperforming copy based on your historical conversion tables.

Setup guide

Set up Microsoft 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

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

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Common questions about Microsoft Ads MCP in Google ADK

You instantiate McpToolset with the HTTP server URL and pass it to your LlmAgent. This exposes tools like list_ms_campaigns directly to Gemini's function calling interface.

Yes. Your agent can fetch live data using get_ms_account_info and run SQL queries against BigQuery in the same execution loop to compare performance.

Yes, you can use the tool_names parameter to limit exposure. For instance, you can expose only list_ms_budgets to keep the agent focused on budget monitoring.

Gemini's long context easily processes the output of list_ms_ads. The agent can analyze thousands of ad variations in a single turn without running out of memory.

Absolutely. Your keyword data, fetched via list_ms_keywords, is processed in a zero-trust environment. Vinkius handles the credentials securely, and Google ADK ensures that live API payloads are never used to train foundational models.

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