google-ads · MCP Server

Google Ads + Improvado MCP — Ad Performance, Instantly Answered

Improvado gives your AI agent direct access to Google Ads data through an MCP server. Query campaigns, check ROAS, catch budget overruns — all in natural language. Works with Claude, ChatGPT, Cursor, Gemini, and any MCP-compatible tool.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Pull Any Google Ads Metric Instantly

Forget the Ads Manager. Ask your AI agent for ROAS, CPA, search terms, or geo performance — across every account, campaign type, and date range. The MCP server handles the Google Ads API calls.

Example prompts

"What's my Google Ads ROAS by campaign type this week? Break it down by Search, PMax, and Display."

45 min → 30 sec

"Show me the top 10 keywords by conversion volume. Include CPA and quality score."

20 min → 15 sec

"Compare Q1 vs Q4 performance across all 12 accounts. Focus on revenue and CPA trends."

3 hrs → 2 min

Works with Claude ChatGPT Cursor +5

Write

Write: Launch Campaigns Without Leaving the Chat

Your AI agent doesn't just read data — it acts on it. Structure campaigns, set budgets, pause underperformers, and adjust bids. The MCP server translates natural language into Google Ads API operations.

Example prompts

"Create a Search campaign targeting 'marketing analytics software'. $3K monthly budget, US only, maximize conversions."

2-4 hrs → 15 min

"Pause all ad groups where CPA exceeded $90 in the last 7 days. Move their budget to top 3 performers."

40 min → 30 sec

"Duplicate the Black Friday campaign from last year. Update dates, increase budget 20%, keep the same audience."

1.5 hrs → 5 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Alerts That Actually Catch Problems Early

Set up watches on the metrics that matter. Your AI agent monitors Google Ads accounts continuously and flags anomalies before they eat your budget.

Example prompts

"Alert me if any campaign's CPA jumps more than 30% vs. its 7-day moving average."

Manual → auto

"Every Monday at 9am: send a summary of spend, conversions, and ROAS by campaign type."

2 hrs → auto

"Flag any ad group that spent more than 120% of its daily budget yesterday."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Full Cycle: Read → Decide → Act → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

100+ Accounts Hit API Rate Limits

The problem

Agencies running 100+ Google Ads accounts hit API rate limits pulling campaign, ad group, and keyword data at once. You end up with partial exports and hours of manual reconciliation every Monday morning.

How MCP solves it

Improvado handles Google Ads API rate limits and pagination server-side. The MCP server lets your AI agent query all accounts in one request — 120 accounts, one answer, no throttling.

Try asking

Show me ROAS by campaign across all 120 accounts this week.

Answer in seconds

All data sources, one query

Challenge 2

Geo Data Gets Flattened on Export

The problem

You need performance by DMA, state, or city — but CSV exports and most connectors flatten geo dimensions. Regional budget decisions become guesswork because the data isn't there.

How MCP solves it

Improvado preserves full geo-level granularity in its data model. Ask the MCP server for city-level CPL, DMA-level ROAS, or state-by-state spend — it's all queryable.

Try asking

What's my CPL in New York vs. California for branded search?

Full detail preserved

No data loss on export

Challenge 3

Search, Display, PMax — Different Schemas, No Comparison

The problem

Google Ads campaign types ship with different field structures. Search has keywords, PMax doesn't. Display has placements, Search doesn't. Clean cross-type comparison needs custom transformation nobody has time to build.

How MCP solves it

Improvado's Marketing Common Data Model normalizes every campaign type into one schema. The MCP server lets your AI compare PMax vs. Search vs. Display on equal terms.

Try asking

PMax vs. Search ROAS for Q1 — which drove more revenue per dollar?

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

Does Google Ads have an MCP server?

Yes. Google open-sourced an official Google Ads MCP server that runs locally and connects to Claude, Cursor, and Gemini CLI. It supports GAQL queries and account listing. Improvado offers a hosted alternative — no local installation, pre-connected accounts, and 1,000+ additional data sources in the same MCP.

What's the difference between the official Google Ads MCP and Improvado's?

Google's official MCP server runs locally on your machine — you install Python, configure OAuth credentials, and manage it yourself. It queries one account at a time. Improvado's MCP server is hosted, pre-authenticated, covers all your accounts at once, and normalizes Google Ads data alongside 1,000+ other platforms.

Which AI tools work with this Google Ads MCP server?

Any tool supporting the Model Context Protocol. That includes Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and any custom application using the MCP HTTP transport. Claude is most commonly used — it has native MCP support built in — all through Improvado's hosted MCP server.

Does Google support MCP natively?

Google released an open-source Google Ads API MCP server in 2025. It uses GAQL for queries and supports OAuth authentication. Improvado builds on this by adding managed hosting, multi-account aggregation, cross-platform normalization, and access to 1,000+ additional marketing data sources through the same MCP connection.

Is my Google Ads data secure through the MCP server?

Yes. Improvado stores all OAuth tokens in an encrypted vault — SOC 2 Type II certified. Your AI agent sends queries through Improvado's secure proxy, never touching raw API credentials. Prompt injection protection is built into the server.

How long does setup take?

If you're already an Improvado user, your Google Ads accounts are pre-connected. Open the AI Agent at app.improvado.io/agent and start asking. For Claude Desktop or Cursor, add one line to your MCP config — setup takes under 60 seconds.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms