Google Ads MCPGoogle Ads MCP Pricing

How much does Google Ads MCP cost in 2026?

Google Ads MCP is completely free and open source. Zero subscription cost. But 'free' comes with hidden expenses: developer time for setup, a Google Cloud project, and ongoing self-hosting maintenance.

Last verified: May 2026

Pricing model

How Google Ads MCP pricing works

There is no pricing. Google Ads MCP is free, open-source software under the Apache 2.0 license. No subscription, no usage limits, no metering.

The actual costs are indirect:

Setup time: 15-60+ minutes of developer time for initial configuration. Requires Python 3.10+, a Google Cloud project, OAuth credentials, and a developer token.

Infrastructure (optional): If deploying to Cloud Run for remote access, you pay Google Cloud hosting fees (~$5-20/month for low usage). Local stdio mode is free.

Maintenance: Self-hosted means you're responsible for updates, security patches, and uptime. The project is v0.0.1 with 95 commits. Expect breaking changes.

AdKit charges $29-49/month and handles all of this for you: hosting, maintenance, updates, and support. Plus you get campaign management, competitor tracking, and creative tools that Google's MCP doesn't offer.

Plans

Plans and what each one includes

Google Ads MCP offers 1 tiers.

Open Source

$0

Apache 2.0 license

Free forever. Self-host the MCP server, query Google Ads data with GAQL.

  • Google Ads data queries via GAQL
  • Account listing and discovery
  • Resource metadata for query building
  • MCC/manager account support
  • Read-only (no campaign creation or management)
  • Google Ads only (no Meta, TikTok, LinkedIn)
  • Self-hosting required (no managed option)
  • Requires Python, Google Cloud project, developer token, OAuth setup
  • No commercial support or SLA
  • 3 tools only

Glossary

What these features actually mean

GAQL

Google Ads Query Language. A SQL-like language for querying Google Ads data. You need to know field names, resource types, and query structure. Example: SELECT campaign.name, metrics.clicks FROM campaign WHERE metrics.impressions > 1000. The MCP server's 'search' tool accepts raw GAQL, so your LLM must construct valid queries.

Developer token

A 22-character string from Google that grants API access. Requires a Google Ads Manager account and approval process. Explorer-level (minimum tier) is sufficient for the MCP server.

Self-hosted

You run the server on your own machine or cloud infrastructure. Google doesn't host it for you. Local mode uses stdio transport (fastest). Remote requires Cloud Run or similar with HTTP transport. You handle uptime, updates, and security.

Keep in mind

Hidden costs and fine print

Free in dollars, not in time

Setup takes 15-60+ minutes for developers. Cloud Run deployment can take days. Non-technical users effectively cannot use it. You're trading money for developer time.

Read-only limits what you can do

The canonical server cannot create campaigns, adjust bids, pause ads, or upload creative. The moment you want to take action on insights, you need a different tool.

Google Ads only

No Meta, TikTok, or LinkedIn support. Multi-platform advertisers need additional MCP servers, each with their own auth and maintenance.

3 tools is a narrow interface

The entire server exposes 3 tools. All the work of constructing valid GAQL queries falls on your LLM. If it gets the query wrong, you get cryptic API errors.

Explicitly experimental

Google states this is 'not intended for production use.' No SLA, no backward compatibility guarantees. It could change or be deprecated.

Real costs

What you'll actually pay

Google Ads MCP is free software. Hidden costs are developer time and optional infrastructure.

ScenarioPlanMonthly costNotes
Developer querying data locallyOpen Source$0/moFree. 15-20 min setup if experienced.
Remote access via Cloud RunOpen Source~$5-20/mo (Cloud Run)Plus 30-60+ min deployment setup
Full ads workflow (create + manage)Not possibleN/ARead-only server. Needs separate tool for execution.

Verdict

Is Google Ads MCP worth using?

If you're a developer who needs Google Ads data in your LLM workflows, yes. It's free, first-party, and gives you raw access to everything the Google Ads API exposes. No vendor lock-in, no subscription.

The question is what you do after reading the data. The MCP can tell you which campaigns underperform. It cannot pause them, adjust bids, or create new ones. For that, you need either manual work in Google Ads Manager or a different tool.

AdKit starts at $29/month for 1 account, MCP included. Read performance, create campaigns, manage bids, track competitors, browse 500,000+ ads, generate creative. Cross-platform (Meta, Google, TikTok). Two-minute setup. If reading Google data is the whole job, Google's free MCP covers it. If you want the full workflow, AdKit is built for that.

AdKit

Consider AdKit

AdKit goes beyond data queries. Competitor research, creative generation, campaign management, and a draft system that reviews changes before they go live. From $29/month for 1 account, $49/month for unlimited.

See how AdKit compares
Alternative

Meet the Google Ads MCP alternative that does more than read data

Google Ads MCP is a free, open-source server that lets your AI agent query Google Ads data via GAQL. Good for pulling reports, but read-only by default, Google-only, and requires Python + OAuth setup. AdKit covers Google, Meta, and TikTok with full read+write MCP, a draft-first safety system, a 500,000+ ad library, competitor tracking, and AI creative tools. No GAQL knowledge needed, ready in two minutes.

FeatureAdKit Logo
Google Ads MCPGoogle Ads MCP
Free Tier7-day free trial, full accessCompletely free (open source)
Entry paid tier$29/month (1 account, includes MCP)$0 (no paid tier exists)
Hidden costsNone. Flat monthly pricing.Google Cloud project costs (if using Cloud Run), developer time for setup and maintenance
MCP call limitsUnlimitedUnlimited (self-hosted)
FAQ

Pricing questions

Want the full picture?

Pricing is one piece. See how Google Ads MCP and AdKit compare on features, safety, and creative tools.

Read full comparison