What Is MCP (Model Context Protocol)? Connecting AI to Google Ads

MCP (Model Context Protocol) is an open protocol that lets AI assistants like Claude and ChatGPT connect to external tools — databases, API’s, file systems — in a standardized way. Thanks to this protocol, a Google Ads MCP server gives your AI assistants access to the Google Ads API. In this article, we explain what MCP is, how it works, and how you can use it to manage Google Ads.

What Is MCP (Model Context Protocol)?

MCP is an open-source protocol released by Anthropic in 2024 that quickly became an industry standard. Its core goal: to let AI assistants communicate with external tools securely and in a standardized way.

Before MCP, connecting an AI assistant to any external system required a separate, custom integration for each one. MCP standardized that process: you write a single MCP server, and every AI client that supports MCP (Claude, ChatGPT, Cursor, Claude Code, and more) can connect to it automatically.

How Does MCP Work?

MCP has three components:

1. MCP Host (AI Client): Claude, ChatGPT, or another AI assistant.
2. MCP Server: the server that defines tools and makes the API calls.
3. Data Source: the real system — the Google Ads API, a database, a file system, and so on.

To complete a task, the AI assistant calls a tool on the MCP server (for example, performance_report). The server talks to the Google Ads API, retrieves the data, and returns it. The AI interprets that data and gives you a readable answer.

What Is a Google Ads MCP Server?

A Google Ads MCP server is a server that exposes Google Ads API functionality as tools over the MCP protocol. With it, Claude or ChatGPT can access your Google Ads account through natural-language commands.

For example, when you say “List my most expensive search terms from last month,” here’s what happens:

1. The AI assistant calls the search_terms_report tool on the MCP server.
2. The MCP server sends a query to the Google Ads API.
3. The API returns the data.
4. The MCP server passes the data back to the AI.
5. The AI analyzes the data and gives you a readable summary.

Remote MCP vs. Local MCP: What’s the Difference?

There are two types of MCP server options for Google Ads:

Local (Self-Hosted) MCP Server

Runs on your own computer. Google’s official open-source Google Ads MCP server falls into this category.

Requirements:

• A terminal environment with Python installed
• Creating a Google Cloud project (free but time-consuming)
• A developer token application — approval can take weeks
• Setting up OAuth 2.0 credentials
• Ongoing software maintenance and updates

Drawbacks: Setup takes hours or days, your computer has to stay on, and it needs constant upkeep. It’s usually limited to read-only reporting.

Remote (Hosted) MCP Server

Runs in the cloud. Opus Growth offers this model.

Requirements: Just paste in a URL.

Advantages:

• 60-second setup
• No terminal, Google Cloud, or developer token required
• Runs 24/7, even when your computer is off
• Automatic updates, zero maintenance
• Full read + write support (adjusting bids, pausing campaigns, setting budgets)
• Multi-account (MCC) support

Opus Growth: A Hosted Google Ads MCP Server

Opus Growth is a hosted (remote) Google Ads MCP server for Claude and ChatGPT. With 26 tools, it provides full access to the Google Ads API.

26 Supported Tools

Read / analysis tools:

• performance_report — campaign, keyword, and search-term performance reports
• search_terms_report — find search terms that aren’t driving conversions
• keyword_report — keyword Quality Score and CPC analysis
• account_audit — account-hygiene audit (low QS, high waste)
• keyword_planner — new keyword ideas and search volume
• get_change_history — account change history
• list_accounts, list_entities, get_billing_status

Write tools (all with a dry-run preview):

• Create Search, Performance Max, Demand Gen, and App campaigns
• Create ad groups, keywords, and RSA ads
• Update budgets, pause and enable campaigns
• Bid strategy and conversion management
• Extension (callout, sitelink) management

Which AI Clients Support MCP?

• Claude (Pro, Max, Team, Enterprise) — via claude.ai
• ChatGPT (GPT-4o, o1, with MCP connector support)
• Cursor — the code editor, with full MCP support
• Claude Code — terminal-based, with full MCP support
• Every other client that supports the MCP protocol

Setup: Get Started in 3 Steps

1. Add the MCP URL: Claude → Connectors → Add Custom Connector → https://googleads.opus-growth.com/mcp
2. Connect Google Ads: an OAuth window opens; select your accounts.
3. Start managing: analyze and optimize your campaigns in plain language.

Security

The power of the MCP protocol is that tool calls are triggered by user approval, not by the AI on its own. At Opus Growth:

• Every write operation shows a preview (dry-run)
• No change is applied without explicit approval
• Your Google OAuth token is stored encrypted
• Every operation is written to an audit log

Trial and Pricing

• 14-day free trial: 200 AI credits, no credit card required.
• Pro ($49/mo): single account, 5,000 AI credits/mo.
• Agency ($99/mo): MCC/multi-account, unlimited AI credits.

👉 Try Google Ads MCP — 14 days free | See pricing

Related posts: Managing Google Ads with Claude · Managing Google Ads with ChatGPT · Safe Ad Management