Can I pause or enable campaigns directly through the AI agent?

Currently, the tools focus on investigative queries and performance analysis. To change the status of a campaign or ad group, please use the Google Ads UI to ensure full budget and policy compliance.

How can I check which keywords are driving the most conversions?

You can use the `getKeywordPerformance` tool for a specific ad group. It will return metrics like clicks, impressions, and CTR for each keyword, allowing the AI to identify your top contributors.

Does this integration support multiple client accounts under a manager account?

Yes! Use the `list_accessible_customers` tool to see all accounts your credentials have access to. You can then specify the target Customer ID when running performance queries.

Google Ads MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Google Ads
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Google Ads through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Google Ads "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Google Ads?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Google Ads MCP Server

Connect your Google Ads account to your AI agent and gain real-time visibility into your advertising performance. Use natural language to audit campaigns, analyze keyword efficiency, and retrieve performance reports across your entire account.

Pydantic AI validates every Google Ads tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Campaign Monitoring — List all active campaigns, check their status, and deep-dive into specific configuration settings
Ad Group & Ad Analysis — Explore ad groups and individual ads to understand your account structure and creative performance
Performance Reporting — Fetch detailed metrics (clicks, impressions, cost, conversions) for any date range through simple queries
Keyword Insights — Search for specific keywords and analyze their individual performance metrics to optimize your bidding strategy
Account Overviews — Get a high-level summary of your account's health and budget consumption across all accessible customers

The Google Ads MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Google Ads to Pydantic AI via MCP

Follow these steps to integrate the Google Ads MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Google Ads with type-safe schemas

Why Use Pydantic AI with the Google Ads MCP Server

Pydantic AI provides unique advantages when paired with Google Ads through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Google Ads integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Google Ads connection logic from agent behavior for testable, maintainable code

Google Ads + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Google Ads MCP Server delivers measurable value.

Type-safe data pipelines: query Google Ads with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Google Ads tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Google Ads and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Google Ads responses and write comprehensive agent tests

Google Ads MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Google Ads to Pydantic AI via MCP:

get_account_summary

Get an overview of the account performance

get_ad_performance

Get performance metrics for ads in an ad group

get_campaign_details

Get detailed settings for a campaign

get_campaign_report

Fetch performance metrics for campaigns

get_change_status

Check recent changes in the account

get_keyword_performance

Get performance metrics for keywords in an ad group

list_accessible_customers

List accessible Google Ads customer accounts

list_ad_groups

List ad groups within a campaign

list_ads

List ads within an ad group

list_budgets

List account budgets

list_campaigns

List all Google Ads campaigns

search_keywords

Search for keywords and their performance

Example Prompts for Google Ads in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Google Ads immediately.

"List all my active campaigns and their current status."

"How many clicks and conversions did we get in the last 7 days?"

"Show me the top performing keywords in ad group 93021."

Troubleshooting Google Ads MCP Server with Pydantic AI

Common issues when connecting Google Ads to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Google Ads + Pydantic AI FAQ

Common questions about integrating Google Ads MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Google Ads MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.