Permite que un cliente de IA lea y modifique campañas de Google Ads, Reddit Ads y GA4, mostrando una vista previa antes de cada cambio.
También conocido como kLOsk/adloop
- Stars
- 302
- Herramientas
- 127
- Descargas, 30 días
- 2509
- Última versión
- 0.42.0
- Último commit
- 12 nov 2026
- Licencia
- MIT
¿Qué es AdLoop MCP?
AdLoop es un MCP server. Permite que un cliente de IA lea y modifique campañas de Google Ads, Reddit Ads y GA4, mostrando una vista previa antes de cada cambio. Expone 127 herramientas, como health_check, get_account_summaries, run_ga4_report.
Resumen generado a partir del README del proyecto
Acerca del MCP server de AdLoop
AdLoop permite a los desarrolladores de marketing y growth engineers gestionar la publicidad digital y la analítica a través de una única interfaz de chat. Al conectarse con Google Ads, Reddit Ads y GA4, esta herramienta permite que un asistente de IA realice auditorías complejas multiplataforma, como comparar los clics en anuncios con los datos de sesiones de GA4 para identificar fallos en el seguimiento. Funciona tanto como un paquete de Python auto-hospedado instalado vía pip como un servicio en la nube que se integra con plataformas como Claude.ai, ChatGPT, Cursor y Gemini.
Los usuarios pueden realizar diagnósticos profundos utilizando herramientas como health_check para verificar la conectividad o run_ga4_report para extraer métricas de rendimiento personalizadas. El servidor proporciona acceso de escritura para modificar campañas, añadir palabras clave negativas o redactar anuncios de búsqueda adaptables, pero incluye un mecanismo de seguridad donde cada cambio requiere una vista previa y aprobación manual. Esto evita gastos accidentales de presupuesto al asegurar que la IA no pueda aplicar cambios sin la confirmación explícita del usuario mediante una tarjeta de aprobación en la interfaz del cliente.
Qué puedes hacer con él
- 1Auditar brechas en el seguimiento de conversionesCruza los clics de los anuncios con las sesiones de GA4 para ver si las caídas en las conversiones se deben a un seguimiento roto o a problemas en la landing page.
- 2Optimizar el gasto publicitario mediante lenguaje naturalIdentifica términos de búsqueda irrelevantes y añádelos como palabras clave negativas directamente desde tu entorno de desarrollo.
- 3Gestionar cambios en campañas de forma seguraCrea nuevas campañas publicitarias o modifica configuraciones asegurando que cada acción sea revisada antes de que se publique.
Escrito a partir del README del proyecto. Cada caso de uso se verifica con una cita del mismo.
Cómo instalar AdLoop MCP
Formatos verificados el 10 nov 2026Añadir a CursorAñadir a GooseInstalar AdLoop MCP en Claude Code
$ claude mcp add adloop -- uvx adloopInstalar AdLoop MCP en Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"adloop": {
"command": "uvx",
"args": [
"adloop"
]
}
}
}Instalar AdLoop MCP en VS Code
.vscode/mcp.json
{
"servers": {
"adloop": {
"type": "stdio",
"command": "uvx",
"args": [
"adloop"
]
}
}
}Instalar AdLoop MCP en VS Code CLI
$ code --add-mcp '{"name":"adloop","type":"stdio","command":"uvx","args":["adloop"]}'Instalar AdLoop MCP en Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"adloop": {
"command": "uvx",
"args": [
"adloop"
]
}
}
}Instalar AdLoop MCP en Codex
$ codex mcp add adloop -- uvx adloopInstalar AdLoop MCP en Codex config.toml
~/.codex/config.toml
[mcp_servers.adloop] command = "uvx" args = ["adloop"]
Instalar AdLoop MCP en Gemini CLI
$ gemini mcp add -s user adloop uvx -- adloopInstalar AdLoop MCP en Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"adloop": {
"command": "uvx",
"args": [
"adloop"
]
}
}
}Herramientas de AdLoop MCP 127
Detectado desde el READMEhealth_checkget_account_summariesrun_ga4_reportrun_realtime_reportget_tracking_eventslist_key_eventslist_ga4_dimensions_and_metricslist_accountsget_campaign_performanceget_ad_performanceget_keyword_performanceget_search_terms
| health_check | — | |
| get_account_summaries | — | |
| run_ga4_report | — | |
| run_realtime_report | — | |
| get_tracking_events | — | |
| list_key_events | — | |
| list_ga4_dimensions_and_metrics | — | |
| list_accounts | — | |
| get_campaign_performance | — | |
| get_ad_performance | — | |
| get_keyword_performance | — | |
| get_search_terms | — |
Mostrar las 127 herramientasMostrar menos herramientas
get_negative_keywordsget_negative_keyword_listsget_negative_keyword_list_keywordsget_negative_keyword_list_campaignsget_recommendationsget_recommendation_subscriptionsget_pmax_performanceget_pmax_assetsget_asset_group_signalsget_detailed_asset_performanceget_audience_performanceget_shopping_product_performanceget_change_historyget_demographic_targetingget_audience_listssearch_audience_segmentsget_audience_targetingsuggest_brandscheck_brand_namesget_brand_listsget_brand_list_brandsget_brand_list_campaignsget_ai_max_settingsget_campaign_settingsget_custom_conversion_goalsrun_gaqlanalyze_campaign_conversionslanding_page_analysisattribution_checkvalidate_trackinggenerate_tracking_codeaudit_event_coveragelist_gtm_accountslist_gtm_containerslist_gtm_tagsget_gtm_taglist_gtm_triggersget_gtm_triggerlist_gtm_variableslist_gtm_workspacesget_gtm_workspace_difflist_gtm_versionsget_gtm_versionget_gtm_version_diffdraft_gtm_tagdraft_gtm_triggerdraft_gtm_variabledraft_delete_gtm_entitydraft_publish_gtm_workspacedraft_rollback_gtm_versionlist_gsc_sitesrun_gsc_reportanalyze_page_speedlist_merchant_accountsget_merchant_feed_healthget_merchant_product_issueslist_reddit_accountslist_reddit_funding_instrumentsget_reddit_performancerun_reddit_reportget_reddit_pixelsget_reddit_audiencessearch_reddit_targetingget_reddit_account_historyestimate_reddit_ad_groupdraft_reddit_custom_audiencelist_microsoft_ads_accountsget_microsoft_performanceget_microsoft_search_termsget_microsoft_location_performanceget_microsoft_conversion_setupsearch_microsoft_locationsdiscover_keywordsestimate_budgetdraft_campaigndraft_shopping_campaigndraft_asset_group_assetsdraft_asset_group_signalsdraft_pmax_product_exclusionsupdate_campaigndraft_ad_groupupdate_ad_groupdraft_responsive_search_addraft_calloutsdraft_structured_snippetsdraft_business_name_assetlink_asset_to_customeradd_ad_scheduledraft_price_assetdraft_image_assetsdraft_keywordsadd_negative_keywordsadd_negative_locationsdraft_key_eventdraft_delete_key_eventdraft_demographic_targetingdraft_audience_attachmentpropose_negative_keyword_listpropose_brand_listadd_to_brand_listremove_from_brand_listattach_brand_list_to_campaignsdetach_brand_list_from_campaignsdraft_ai_max_settingsdraft_prepare_brand_exclusionsdraft_custom_conversion_goaldraft_update_custom_conversion_goaldraft_assign_custom_conversion_goaldraft_clear_custom_conversion_goaldraft_dismiss_recommendationsdraft_recommendation_subscriptionspause_entityenable_entityremove_entityconfirm_and_apply
| get_negative_keywords | — | |
| get_negative_keyword_lists | — | |
| get_negative_keyword_list_keywords | — | |
| get_negative_keyword_list_campaigns | — | |
| get_recommendations | — | |
| get_recommendation_subscriptions | — | |
| get_pmax_performance | — | |
| get_pmax_assets | — | |
| get_asset_group_signals | — | |
| get_detailed_asset_performance | — | |
| get_audience_performance | — | |
| get_shopping_product_performance | — | |
| get_change_history | — | |
| get_demographic_targeting | — | |
| get_audience_lists | — | |
| search_audience_segments | — | |
| get_audience_targeting | — | |
| suggest_brands | — | |
| check_brand_names | — | |
| get_brand_lists | — | |
| get_brand_list_brands | — | |
| get_brand_list_campaigns | — | |
| get_ai_max_settings | — | |
| get_campaign_settings | — | |
| get_custom_conversion_goals | — | |
| run_gaql | — | |
| analyze_campaign_conversions | — | |
| landing_page_analysis | — | |
| attribution_check | — | |
| validate_tracking | — | |
| generate_tracking_code | — | |
| audit_event_coverage | — | |
| list_gtm_accounts | — | |
| list_gtm_containers | — | |
| list_gtm_tags | — | |
| get_gtm_tag | — | |
| list_gtm_triggers | — | |
| get_gtm_trigger | — | |
| list_gtm_variables | — | |
| list_gtm_workspaces | — | |
| get_gtm_workspace_diff | — | |
| list_gtm_versions | — | |
| get_gtm_version | — | |
| get_gtm_version_diff | — | |
| draft_gtm_tag | — | |
| draft_gtm_trigger | — | |
| draft_gtm_variable | — | |
| draft_delete_gtm_entity | — | |
| draft_publish_gtm_workspace | — | |
| draft_rollback_gtm_version | — | |
| list_gsc_sites | — | |
| run_gsc_report | — | |
| analyze_page_speed | — | |
| list_merchant_accounts | — | |
| get_merchant_feed_health | — | |
| get_merchant_product_issues | — | |
| list_reddit_accounts | — | |
| list_reddit_funding_instruments | — | |
| get_reddit_performance | — | |
| run_reddit_report | — | |
| get_reddit_pixels | — | |
| get_reddit_audiences | — | |
| search_reddit_targeting | — | |
| get_reddit_account_history | — | |
| estimate_reddit_ad_group | — | |
| draft_reddit_custom_audience | — | |
| list_microsoft_ads_accounts | — | |
| get_microsoft_performance | — | |
| get_microsoft_search_terms | — | |
| get_microsoft_location_performance | — | |
| get_microsoft_conversion_setup | — | |
| search_microsoft_locations | — | |
| discover_keywords | — | |
| estimate_budget | — | |
| draft_campaign | — | |
| draft_shopping_campaign | — | |
| draft_asset_group_assets | — | |
| draft_asset_group_signals | — | |
| draft_pmax_product_exclusions | — | |
| update_campaign | — | |
| draft_ad_group | — | |
| update_ad_group | — | |
| draft_responsive_search_ad | — | |
| draft_callouts | — | |
| draft_structured_snippets | — | |
| draft_business_name_asset | — | |
| link_asset_to_customer | — | |
| add_ad_schedule | — | |
| draft_price_asset | — | |
| draft_image_assets | — | |
| draft_keywords | — | |
| add_negative_keywords | — | |
| add_negative_locations | — | |
| draft_key_event | — | |
| draft_delete_key_event | — | |
| draft_demographic_targeting | — | |
| draft_audience_attachment | — | |
| propose_negative_keyword_list | — | |
| propose_brand_list | — | |
| add_to_brand_list | — | |
| remove_from_brand_list | — | |
| attach_brand_list_to_campaigns | — | |
| detach_brand_list_from_campaigns | — | |
| draft_ai_max_settings | — | |
| draft_prepare_brand_exclusions | — | |
| draft_custom_conversion_goal | — | |
| draft_update_custom_conversion_goal | — | |
| draft_assign_custom_conversion_goal | — | |
| draft_clear_custom_conversion_goal | — | |
| draft_dismiss_recommendations | — | |
| draft_recommendation_subscriptions | — | |
| pause_entity | — | |
| enable_entity | — | |
| remove_entity | — | |
| confirm_and_apply | — |
Configuración
ADLOOP_TOOLSETS
| Nombre | Descripción | Tipo |
|---|---|---|
| ADLOOP_TOOLSETS | — |
Verificaciones automáticas
Ejecutado 11 nov 2026Informe completo →Pasó nuestras verificaciones automáticas. Esto no es una auditoría de seguridad: lee el código y dale al servidor el acceso más limitado que necesite. Cómo funcionan las verificaciones
- Repositorio de origen vinculado y accesibleAprobado
- Licencia de código abierto (OSI)Aprobado
- Commit o lanzamiento en el último añoAprobado
- El nombre del paquete no es similar a un paquete popularAprobado
- El endpoint remoto usa HTTPSAprobado
- Las herramientas destructivas están etiquetadasNo verificado
- Sin instrucciones ocultas para el modeloAprobado
- No hay avisos críticos en el paquete ni en sus dependenciasAprobado
README
Ver en GitHubAdLoop
The Google Ads MCP server for Claude, ChatGPT and Cursor.
Plus Reddit Ads, GA4 and your tracking code, with a preview before every change.
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) · or self-host: pip install adloop
[!TIP] AdLoop Cloud 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 — setup guides per AI client, toolsets, the safety model, and troubleshooting for both editions.
Cloud or Self-Hosted?
Both versions run the same tools with the same safety model. The difference is who handles the plumbing:
| ☁️ AdLoop Cloud | 🛠️ Self-hosted (this repo) | |
|---|---|---|
| Setup | Connect Google in two clicks | ~5 min: own Google Cloud project + adloop init |
| Google Cloud project | Not needed | Required (free) |
| Ads API access | Not needed | Granted to your Cloud project (no developer token, no MCC since Sept 2026) |
| Works with | claude.ai, ChatGPT, Claude Code, Cursor, Gemini | Claude Code, Cursor, Claude Desktop, any local MCP client |
| Where your data flows | EU servers (Germany), GDPR-first, DPA included | 100% your machine — nothing leaves it |
| Updates | Automatic | pip install -U adloop |
| Price | Free plan, no card; paid plans for more accounts and volume | Free forever (MIT) |
Not sure? Start with Cloud — 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 adlooporgit clone https://github.com/kLOsk/adloop.git && cd adloop && uv sync && uv run adloop init— or zero setup on AdLoop Cloud
Diagnostics
| Tool | What It Does |
|---|---|
health_check |
Test OAuth, GA4, and Ads connectivity in one call — actionable error messages if anything is broken. Also reports the pinned Google Ads API version and warns if a newer version is available. |
GA4 Read Tools
| Tool | What It Does |
|---|---|
get_account_summaries |
List GA4 accounts and properties |
run_ga4_report |
Custom reports: sessions, users, key events, page performance. Optional dimension and metric filters, ordering, paging, and a comparison period |
run_realtime_report |
Live data — verify tracking fires after deploys |
get_tracking_events |
All configured events and their volume |
list_key_events |
The property's key events (conversions) with counting method, create time and whether they can be deleted |
list_ga4_dimensions_and_metrics |
Every dimension and metric the property can report on, including custom ones, with search |
Google Ads Read Tools
| Tool | What It Does |
|---|---|
list_accounts |
Discover accessible Ads accounts |
get_campaign_performance |
Campaign metrics: impressions, clicks, cost, conversions, CPA, Search impression share and share lost to budget/rank |
get_ad_performance |
Ad copy analysis: headlines, descriptions, CTR, policy approval status and topics |
get_keyword_performance |
Keywords — quality scores, competitive metrics |
get_search_terms |
What users actually searched before clicking |
get_negative_keywords |
List direct campaign-level negative keywords |
get_negative_keyword_lists |
List all shared negative keyword lists (SharedSets) — names, IDs, status, keyword count |
get_negative_keyword_list_keywords |
List the keywords inside a specific shared negative keyword list |
get_negative_keyword_list_campaigns |
List which campaigns a shared negative keyword list is attached to |
get_recommendations |
Google's auto-generated recommendations with type, estimated impact, and campaign context |
get_recommendation_subscriptions |
Which recommendation types Google applies automatically (auto-apply), with status and last change; flags any that are on |
get_pmax_performance |
Performance Max campaign metrics with network breakdown + asset group ad strength |
get_pmax_assets |
Per-asset details for PMax — field type, serving status, content |
get_asset_group_signals |
A PMax asset group's search themes and audience signal, plus the audiences available for it |
get_detailed_asset_performance |
Top-performing asset combinations — which headline+description+image combos Google selects most |
get_audience_performance |
Audience segment performance — remarketing, in-market, affinity, demographics |
get_shopping_product_performance |
Spend, conversions, CPA and ROAS per product across Shopping and Performance Max, plus products that spent without converting |
get_change_history |
What changed before the drop: who changed what and when, through which client (UI, API, scripts, auto-applied recommendations), last 30 days |
get_demographic_targeting |
List demographic criteria (age/gender/parental status/income) on an ad group or campaign |
get_audience_lists |
The account's remarketing and customer lists (size, eligibility, open/closed), custom and combined segments |
search_audience_segments |
Find Google's in-market and affinity segments by name |
get_audience_targeting |
Audiences and audience exclusions on a campaign or ad group, plus the audience mode (observation or targeting) |
suggest_brands |
Resolve a brand name to the brands Google recognizes — brand ID, name, state, URLs |
check_brand_names |
Check a shortlist of brand names against Google's brand knowledge graph (max 25 per call) |
get_brand_lists |
List brand lists (SharedSets of type BRANDS) — ID, name, status, member count |
get_brand_list_brands |
List the brands inside a list, with the Commercial KG MID and the criterion ID for removals |
get_brand_list_campaigns |
Which campaigns a brand list is attached to, and whether each attachment excludes or targets |
get_ai_max_settings |
AI Max knobs per campaign and ad group — enable_ai_max, bundling_required, the full asset_automation_settings list and each ad group's disable_search_term_matching |
get_campaign_settings |
One flat record per Search campaign — networks, location option, campaign-level broad match, bidding, budget, URL options and AI Max — with the settings that widen reach flagged |
get_custom_conversion_goals |
Custom conversion goals with their actions, plus one campaign's goal config |
run_gaql |
Arbitrary GAQL queries for anything else |
Brand lists — a list is a
SharedSetof typeBRANDS; attaching it to a campaign is aCampaignCriterion.brand_list(negative=trueexcludes,falserestricts), not aCampaignSharedSetlike negative keyword lists.remove_from_brand_listanddetach_brand_list_from_campaignsremove for real —SharedCriterionhas 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_brandsfor a single name orcheck_brand_namesfor a shortlist to get the ID;exact_matchmarks 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 list on a plain Search campaign with "For search advertising channel, brand lists can only be applied to exclusive targeting, broad match campaigns for inclusive targeting or PMax generated campaigns."
draft_prepare_brand_exclusionssets the state that makes the exclusion usable without handing Google the automations: AI Max on, search term matching off per ad group, text and final-URL automation opted out.draft_ai_max_settingsis the general form when only parts of that state should change — it refuses a plan that would leave an automation on unnoticed, and asks for a second confirmation when that automation was requested explicitly.
Custom conversion goals — a named set of conversion actions that a campaign can be pointed at.
get_custom_conversion_goalsshows the goals with their actions and a campaign's current goal config;draft_custom_conversion_goalcreates a set,draft_update_custom_conversion_goalrenames or replaces its actions,draft_assign_custom_conversion_goalpoints a campaign at it anddraft_clear_custom_conversion_goalputs the campaign back on the account-level goals. Only the goal and the campaign's goal config are touched — conversion actions, bidding and budgets stay as they are.
Compact mode —
get_campaign_performance,get_keyword_performance,get_search_terms, andget_ad_performanceacceptcompact=true: account totals, breakdowns, top-10 rows, and pre-computed offender lists (zero-conversion spenders, low-QS keywords, negative-keyword candidates, thin RSAs) instead of every row. ~90% smaller responses — built for account audits so raw tables don't flood your AI's context.
Cross-Reference Tools (GA4 + Ads Combined)
These tools call both APIs internally and return unified results with auto-generated insights. They're the core of what makes AdLoop different from having separate GA4 and Ads tools.
| Tool | What It Does |
|---|---|
analyze_campaign_conversions |
Maps Ads clicks → GA4 sessions → conversions per campaign. Detects GDPR consent gaps, computes real CPA, compares paid vs organic channels. |
landing_page_analysis |
Joins ad final URLs with GA4 page data. Shows conversion rate, bounce rate, and engagement per landing page. Flags pages with paid traffic but zero conversions. |
attribution_check |
Compares Ads-reported conversions vs GA4 events. Diagnoses whether discrepancies are from GDPR consent, attribution windows, or broken tracking. |
Tracking Tools
| Tool | What It Does |
|---|---|
validate_tracking |
Compare event names found in your codebase against what GA4 actually records. Returns matched, missing, and unexpected events with diagnostics. |
generate_tracking_code |
Generate ready-to-paste GA4 gtag JavaScript for any event, with recommended parameters for well-known events (sign_up, purchase, etc.) and optional trigger wrappers. |
Google Tag Manager Tools
These tools read the live GTM container and join it with the codebase + GA4 to find tracking gaps that pure GA4 inspection can't catch — page-scoped triggers, paused tags, dynamic event names, brittle CSS selectors, and codebase events with no tag wired up at all.
| Tool | What It Does |
|---|---|
audit_event_coverage |
The flagship. Three-way join: codebase events ↔ GTM tags ↔ GA4 actual fires. For each event name in expected_events, returns one of 10 statuses (ok, no_tag_no_fire, tag_paused, tag_active_but_not_firing, gtm_only_firing, ga4_only, etc.) plus auto-generated insights for the gaps. |
list_gtm_accounts |
Discover accessible GTM accounts |
list_gtm_containers |
List containers under an account — returns numeric container_id (needed by other tools), public GTM-XXXXXXX ID, and usage context (web/iOS/Android/server) |
list_gtm_tags |
Every tag in the live container with parsed event names and resolved firing/blocking trigger names. Pass workspace_id to read a workspace's unpublished state instead, so a just-drafted tag is visible (also on get_gtm_tag, list_gtm_triggers, get_gtm_trigger, list_gtm_variables) |
get_gtm_tag |
Full raw config for a single tag — every parameter, firing/blocking triggers with filter conditions, priority, pause status, sampling |
list_gtm_triggers |
Every trigger with filter conditions parsed to readable text (e.g. {{Page Path}} contains service-promotions, {{Form ID}} NOT contains wf-form-...). Renders the negate flag explicitly. |
get_gtm_trigger |
Full trigger config + reverse lookup of every tag that uses it. Includes parsed element_visibility block (selector, on-screen ratio, firing frequency) for elementVisibility triggers and group_member_trigger_ids for triggerGroup types |
list_gtm_variables |
Custom variables (data layer, constants, JS) plus enabled built-in variables |
list_gtm_workspaces |
List drafts (workspaces) under a container — workspace IDs are needed by get_gtm_workspace_diff |
get_gtm_workspace_diff |
Drafted-but-not-published changes — common cause of "I edited a tag but nothing happened". Returns is_clean: true when nothing is pending. |
list_gtm_versions |
Version history, newest first, with version IDs and entity counts. The Tag Manager API returns no timestamps or author for versions. |
get_gtm_version |
Name, notes and tag/trigger names for a single historical container version |
get_gtm_version_diff |
What a publish changed: added, removed and changed tags, triggers and variables with the changed fields, plus built-in variables enabled or disabled. Defaults to the live version against the one before it; two or three API calls. |
GTM write tools (opt-in)
Off by default. Set gtm.write_enabled: true in ~/.adloop/config.yaml and restart; the next call asks you to re-consent with the Tag Manager edit + publish scopes, which are never part of the default grant. Everything follows the usual draft → preview → confirm_and_apply flow, and tag/trigger edits only touch a workspace until you publish it.
| Tool | What It Does |
|---|---|
draft_gtm_tag |
Create a tag, or update one by tag_id. Updates are a read-modify-write: parameters merge by key and every field you don't pass (priority, consent settings, firing options, schedule, folder, …) is preserved. Tag types are canonical GTM template IDs (googtag, gaawe, awct, sp, gclidw, …) or cvt_<id> gallery templates. |
draft_gtm_trigger |
Create a trigger, or update one by trigger_id (type is immutable). custom_event_name wires a customEvent trigger to a dataLayer event. |
draft_gtm_variable |
Create or update variables, e.g. Data Layer Variables for GA4 ecommerce values; renaming a referenced variable is refused, Custom JavaScript is gated |
draft_delete_gtm_entity |
Delete a workspace tag, trigger or variable. Triggers and variables still in use are refused up front, with the references listed. |
draft_publish_gtm_workspace |
Publish a workspace live. The preview lists every pending change, including edits other people made in the GTM UI. |
draft_rollback_gtm_version |
Republish an older container version live. The preview is the diff from the live version to the target; the plan pins the live version, so apply refuses if someone publishes in between. Workspaces are left as they are. |
Safety gates specific to GTM:
- Custom HTML runs arbitrary JavaScript on your site, so creating or editing an
htmltag — or publishing a workspace that adds or changes one — is refused unlessgtm.allow_custom_html: trueis also set. Pausing or deleting one is always allowed. - No stale writes. Updates and deletes pin the entity's fingerprint from the preview, and publish pins the workspace's pending changes; if someone edits the container in between, apply refuses and you re-draft.
- Publishing stops on merge conflicts or GTM compiler errors. The dry run runs a Tag Manager quick preview first (Tag Manager has no validate-only mode), so compiler errors surface before a version is even created. That preview is a POST and stores a preview version in the container — nothing is published and no live tag changes; the rest of the dry run only reads.
- The publish and rollback results name the version they replaced (
previous_live_version_id), so rolling back is one step:draft_rollback_gtm_versionwith that id. If the version was created but publishing it failed, the error carries both the created version id and the still-live one. - Per-operation names for
safety.blocked_operations:gtm_create_tag,gtm_update_tag,gtm_delete_tag,gtm_create_trigger,gtm_update_trigger,gtm_delete_trigger,gtm_publish_workspace,gtm_rollback_version.
The Google account also needs Edit permission on the container (and Publish to publish) under Admin → User Management.
Setup for GTM tools — Enable the Tag Manager API v2 in your GCP project, then add your AdLoop credentials' email (the OAuth user, or the service account email if using a service account) as a Read user on the GTM container under Admin → User Management. Service accounts pick up access on the next call. OAuth users upgrading from an earlier AdLoop version must re-authorize once: the GTM scope is new, so delete
~/.adloop/token.jsonand run any tool to re-consent — until then GTM tools return a permissions error.
Search Console Tools
| Tool | What It Does |
|---|---|
list_gsc_sites |
List Search Console properties the connected account can access |
run_gsc_report |
Organic search analytics: clicks, impressions, CTR, position by query/page/country/device/date/searchAppearance/hour. Supports fresh data (data_state="all"), aggregation_type, and paging past 25,000 rows with start_row |
Web Performance Tools
| Tool | What It Does |
|---|---|
analyze_page_speed |
PageSpeed Insights for landing pages: Lighthouse score, Core Web Vitals, real-user CrUX data (falls back to origin-wide data, labelled as such, when the page has too little traffic), top fixes. No OAuth needed (optional API key). |
Merchant Center Tools
| Tool | What It Does |
|---|---|
list_merchant_accounts |
Discover accessible Merchant Center accounts |
get_merchant_feed_health |
Feed health — approved/pending/disapproved counts per reporting context, top product issues with docs, account-level issues. Disapprovals silently starve Shopping/PMax. |
get_merchant_product_issues |
The products behind the feed-health counts: which are disapproved, limited or pending, and each issue with its attribute and affected countries |
Setup for Merchant Center tools — Enable the Merchant API in your GCP project (the Content API for Shopping is deprecated). The Merchant API has no read-only scope; AdLoop uses it strictly read-only. Upgrading OAuth users re-authorize once.
Setup for GSC tools — Enable the Search Console API in your GCP project. Upgrading OAuth users must re-authorize once for the new scope (delete
~/.adloop/token.json, run any tool). The killer combo: cross-reference organic queries withget_keyword_performanceto find paid/organic cannibalization and untapped keyword opportunities.
Preguntas sobre AdLoop MCP
¿Cómo agrego AdLoop MCP a Claude Code?
Ejecuta claude mcp add adloop -- uvx adloop en tu terminal. Añade --scope user para que esté disponible en todos los proyectos.
¿Cómo agrego AdLoop MCP a Cursor?
Abre ~/.cursor/mcp.json y añade el servidor en mcpServers, usando la configuración de Cursor que se muestra en la sección de instalación de arriba.
¿Qué herramientas proporciona AdLoop MCP?
Expone 127 herramientas, incluidas health_check, get_account_summaries, run_ga4_report, run_realtime_report, get_tracking_events.
¿Qué puedo hacer con el MCP server de AdLoop?
Le otorga a un asistente de IA acceso de lectura y escritura a Google Ads, Reddit Ads y GA4, incluyendo el rendimiento de campañas, términos de búsqueda, audiencias e informes.
¿Se aplican los cambios sin mi aprobación?
No. Cada cambio se muestra primero en una vista previa, y solo tu clic en Apply aplica los cambios en la cuenta; la IA no puede presionarlo.
¿Las nuevas campañas se inician pausadas?
Sí, los nuevos anuncios y campañas se crean en estado pausado para que no gasten presupuesto hasta que tú los habilites.
¿Cómo instalo AdLoop?
Instálalo desde PyPI con pip install adloop, o clona el repositorio y ejecuta adloop init con uv.
¿AdLoop funciona con GA4 y Tag Manager?
Sí, lee informes de GA4, eventos clave y eventos de seguimiento, y audita tu contenedor de Google Tag Manager en vivo comparándolo con tu base de código.