How to Use the Google Ads MCP in AutoGen

Q: How do AutoGen agents share Google Ads tool outputs during a conversation?

When an AutoGen agent calls listcampaigns, the resulting Google Ads metadata is posted directly to the group chat. All other AutoGen agents in the conversation can immediately read and analyze those campaigns.

Let your AutoGen agents debate Google Ads performance and coordinate budget audits without manual intervention.

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Connect Google Ads MCP to AutoGen

Create your Vinkius account to connect Google Ads to AutoGen 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 Google Ads with AutoGen

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Run multi-agent debates over Google Ads with this MCP Server

AutoGen excels when agents can challenge each other's conclusions about Google Ads. By exposing this MCP Server to your AutoGen group chat, a financial agent can run `get_account_budget` to enforce budget caps while a growth agent pulls campaign lists. The AutoGen growth agent calls `list_campaigns` to find active targets, but the financial agent can veto expansion plans if the Google Ads budget is tight. This setup lets your AutoGen team deliberate over your Google Ads accounts before proposing changes.

Coordinate deep Google Ads keyword and ad copy audits

Stop manually checking which Google Ads keywords match your ad creatives. You can assign one AutoGen agent to fetch active keywords using `list_keywords` and another to retrieve the corresponding ad copy using `list_ads`. A third AutoGen critic agent can then cross-reference the output of `list_ad_groups` to ensure your messaging aligns. This collaborative AutoGen workflow flags mismatched ads and bad keyword targets without you reading a single report.

Automate Google Ads performance reporting and conversion analysis

Let your AutoGen agents handle the weekly performance review. One AutoGen agent pulls raw metrics using `get_performance_report` while another checks the Google Ads conversion tracking setup using `list_conversion_actions`. By evaluating the results of `get_campaign`, the AutoGen agents can collectively determine which campaigns are driving real business growth. They negotiate a recommended budget allocation based on actual Google Ads conversion data.

Setup guide

Set up Google Ads MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Google Ads tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Google Ads_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Google Ads data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Google Ads_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Google Ads data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Google Ads MCP in AutoGen

When an AutoGen agent calls `list_campaigns`, the resulting Google Ads metadata is posted directly to the group chat. All other AutoGen agents in the conversation can immediately read and analyze those campaigns.

Yes. You can configure your AutoGen group manager to restrict which agents have access to `get_account_budget`, preventing unauthorized agents from viewing your Google Ads financial limits.

You use the AutoGen MCP extension to load the server tools. The adapter automatically maps the schemas so your AutoGen agents can call Google Ads tools like `list_ad_groups` natively.

The server supports both stdio and Streamable HTTP. This allows your AutoGen agents to connect locally to Google Ads during development or access the tools over a secure cloud endpoint in production.

Your Google Ads account budgets and ad group structures are isolated in secure, ephemeral environments. No marketing copy or financial targets are cached, ensuring your AutoGen team works within a zero-trust compliance boundary.

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