AdLoop

AdLoop

The AI command center for Google Ads, Reddit Ads, GA4, and tracking code.

An MCP server that gives your AI assistant read + write access to Google Ads, Reddit Ads and GA4 — with safety guardrails that prevent accidental spend.

[☁️ Skip the setup — use AdLoop Cloud (free plan, no card)](https://getadloop.com) · or self-host: pip install adloop

[!TIP]

[AdLoop Cloud](https://getadloop.com) is the hosted version of this project, with a free plan that needs no credit card. Connect Google in two clicks and use the full toolset from claude.ai, ChatGPT, Claude Code, Cursor, or Gemini. No Google Cloud project, no API access application, no OAuth verification wait. EU-hosted, GDPR-first, DPA included.

📚 Documentation: [docs.getadloop.com](https://docs.getadloop.com) — setup guides per AI client, toolsets, the safety model, and troubleshooting for both editions.

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Cloud or Self-Hosted?

Both versions run the same tools with the same safety model. The difference is who handles the plumbing:

Not sure? [Start with Cloud](https://getadloop.com) — it's the fastest way to see what AdLoop can do, and it's the only way to use AdLoop from claude.ai or ChatGPT. Self-host when you want everything on your own machine or need to modify the code. And if you're here to hack on AdLoop itself: welcome, keep scrolling.

What It Solves

AdLoop exists because managing Google Ads alongside your code is a mess. These are the specific problems it handles:

• "My conversions dropped and I don't know why." AdLoop cross-references Ads clicks, GA4 sessions, and conversion events in one query. It detects whether the gap is from GDPR consent rejection, broken tracking, or an actual landing page problem — before you waste hours checking each dashboard separately.

• "I'm wasting ad spend on irrelevant searches." Pull your search terms report, identify the junk, and add negative keywords — all from a single conversation in your IDE. No context-switching to the Ads UI.

• "Is my tracking even working?" Compare the event names in your actual codebase against what GA4 is receiving. Find the mismatches: events you fire that GA4 never sees, events GA4 records that you didn't know about.

• "I need to create ads but the Google Ads UI is hostile." Draft responsive search ads, create campaigns, add keywords — all through natural language. Every change shows a preview first. Nothing goes live without your explicit confirmation: in Claude, ChatGPT and VS Code the preview is an approval card, and only your click on Apply changes the account (the AI cannot press it). New ads and campaigns start paused.

• "My landing page gets paid traffic but nobody converts." AdLoop joins your ad final URLs with GA4 page-level data. See which pages get clicks but no conversions, which have high bounce rates, and which ones are orphaned from any ad campaign.

• "Are conversions even being tagged on every page?" AdLoop reads your live Google Tag Manager container, joins it against the events in your codebase and the events firing in GA4, and tells you exactly which conversions are being captured, which tags are paused, which page-scope filters are too narrow, and which codebase events have no tag at all — the kind of three-way audit GTM Preview can't give you in a single view.

• "I don't know if my EU consent setup is causing data gaps." In Europe, 30-70% of users reject analytics cookies. AdLoop accounts for this automatically — it won't diagnose a normal GDPR consent gap as broken tracking.

Built From Real Usage

Every tool exists because of an actual problem hit while running real Google Ads campaigns. The cross-reference tools exist because we kept manually asking the AI to "get Ads data, then get GA4 data, then compare them" — so we automated the join. The Broad Match + Manual CPC safety rule exists because the AI once created that exact combination and wasted budget. The GDPR consent awareness exists because the AI kept diagnosing normal EU cookie rejection as broken tracking.

The best features come from real workflows. If you're using AdLoop and find yourself wishing it could do something it can't, open an issue describing your situation — not just "add feature X" but "I was trying to do Y and couldn't because Z." The context matters more than the request.

All Tools

Quick start: pip install adloop or git clone https://github.com/kLOsk/adloop.git && cd adloop && uv sync && uv run adloop init — or zero setup on AdLoop Cloud

Diagnostics

GA4 Read Tools

Google Ads Read Tools

Brand lists — a list is a SharedSet of type BRANDS; attaching it to a campaign is a CampaignCriterion.brand_list (negative=true excludes, false restricts), not a CampaignSharedSet like negative keyword lists. remove_from_brand_list and detach_brand_list_from_campaigns remove for real — SharedCriterion has no status field.

Brand targeting — brand criteria (brand lists, brand exclusions) target a brand's Commercial Knowledge Graph ID, not its display name. Use suggest_brands for a single name or check_brand_names for a shortlist to get the ID; exact_match marks a candidate whose name matches apart from case and punctuation, everything else is a Google suggestion.

AI Max is the container for Search brand exclusions — Google rejects a brand lis