How do I get my Google Ads API credentials?

You need three things: **1. OAuth Client ID & Secret:** - Go to **console.cloud.google.com**. - Navigate to **APIs & Services → Credentials**. - Click **Create Credentials → OAuth Client ID**. - Select **Web Application**, add redirect URIs, and copy the **Client ID** and **Client Secret**. **2. Developer Token:** - Log in to your Google Ads **Manager Account** (MCC). - Go to **Tools & Settings → Setup → API Center**. - Copy your **Developer Token** (start with a test token while pending appro

Can I manage multiple ad accounts from one agent?

Yes. If you use a Google Ads Manager account (MCC), your AI agent can access all linked accounts. Simply switch between customer IDs to manage different accounts conversationally.

Can I optimize keyword bids through my AI agent?

Yes. Your agent can increase or decrease keyword bids, add negative keywords, change match types, and pause underperforming keywords — giving you full bid management from a single conversation.

What campaign types are supported?

All Google Ads campaign types: Search, Display, Shopping, Video (YouTube), App, Discovery, Performance Max, and Smart campaigns. Your AI agent can create and manage any of these types.

Google Ads MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Google Ads
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Google Ads through the 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 "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 Google Ads to your AI agent and manage the world's largest advertising platform conversationally.

Pydantic AI validates every Google Ads tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the 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 Management — List, create, update, and pause search, display, shopping, video, and performance max campaigns.
Performance Analytics — Pull impressions, clicks, CTR, CPC, conversions, conversion value, ROAS, quality score, and search impression share.
Keyword Management — Add, pause, and optimize keywords with bid adjustments, negative keywords, and match type changes.
Audience & Targeting — Manage audience segments, location targeting, demographic adjustments, and remarketing lists.

The Google Ads MCP Server exposes 8 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 8 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 (8)

These 8 tools become available when you connect Google Ads to Pydantic AI via MCP:

get_account_budget

Get account budget info

get_campaign

Get campaign performance details

get_performance_report

Get daily performance report

list_ad_groups

List ad groups in a campaign

list_ads

List ads in an ad group

list_campaigns

List all Google Ads campaigns

list_conversion_actions

List conversion tracking actions

list_keywords

List keywords in a campaign

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.

"What's my Google Ads spend and ROAS this month?"

"Which keywords have the lowest quality score?"

"Pause all shopping campaigns with ROAS below 2x."

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.