Google Ads
 · MCP Server

Google Ads MCP — Connect Ad Data to AI in Seconds

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.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 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.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II 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.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Full Cycle: Read → Decide → Act → Monitor

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.

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

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 ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
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.

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?"
⚖️
Unified data model
Compare anything side by side
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.
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.

Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.

Frequently Asked 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 500+ 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 500+ 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.

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 500+ 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.

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 500+ 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 500+ 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.
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 500+ 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
46K+ Metrics