AdLoop vs Google Ads
A side-by-side look at the AdLoop and Google Ads MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose AdLoop for marketing work as a local process; choose Google Ads for marketing as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose AdLoop when
- You need dedicated capabilities in the Marketing domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: OAuth 2.0.
- You want tools like
health_check, get_account_summaries, run_ga4_report.
Choose Google Ads when
- You need dedicated capabilities in the Marketing domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
GOOGLE_ADS_DEVELOPER_TOKEN, GOOGLE_ADS_CLIENT_ID, GOOGLE_ADS_CLIENT_SECRET, GOOGLE_ADS_REFRESH_TOKEN, GOOGLE_ADS_LOGIN_CUSTOMER_ID. - You want tools like
google_ads_list_accounts, google_ads_get_account_details, google_ads_run_gaql.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Marketing | Marketing |
| Quality signal | 65/100 · Great | 55/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | OAuth 2.0 | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | GOOGLE_ADS_DEVELOPER_TOKENGOOGLE_ADS_CLIENT_IDGOOGLE_ADS_CLIENT_SECRETGOOGLE_ADS_REFRESH_TOKENGOOGLE_ADS_LOGIN_CUSTOMER_ID |
| Verified owner | Community listing | Community listing |
| GitHub stars | 284 | 1 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 134 | 45 |
| Full listing | View AdLoop | View Google Ads |
Tools & capabilities
AdLoop tools 134
health_checkTest AdLoop connectivity — checks OAuth token, GA4 API, Google Ads API, and (when configured) the Reddit Ads API. Returns the status of each service and actionable guidance when something is broken, which makes it the diagnostic for failures in other tools. Google Ads API: https://developers.google.com/google-ads/api/docs/start, Google Analytics Data API: https://developers.google.com/analytics/devguides/reporting/data/v1 and Reddit Ads API: https://ads-api.reddit.com/docs/v3/get_account_summariesList all GA4 accounts and properties accessible by the authenticated user. Serves as the discovery step for which GA4 properties are available. Returns account names, property names, and property IDs. Google Analytics Data API: https://developers.google.com/analytics/devguides/reporting/data/v1 and Admin API: https://developers.google.com/analytics/devguides/config/admin/v1run_ga4_reportRun a custom GA4 report with optional filters, ordering, paging and a comparison period. Returns the property, the date range, the dimension and metric headers, one row per dimension combination (values as strings), row_count and total_row_count (plus next_offset while more rows remain). At least one dimension or metric is required. With compare_start/compare_end the comparison period is a second date range: every row then carries a dateRange value of "current" or "comparison", and date_ranges maps both labels to their dates. Invalid filters or ordering return "Validation failed" with details, before anything is sent. Queries the GA4 Data API. Dimensions and metrics: https://developers.google.com/analytics/devguides/reporting/data/v1/api-schemarun_realtime_reportRun a GA4 realtime report showing current active users and events. Useful for checking if tracking is firing correctly after code changes. Returns the dimension and metric headers and one row per dimension combination over the realtime window (the last 30 minutes). Google Analytics Data API: https://developers.google.com/analytics/devguides/reporting/data/v1 and Admin API: https://developers.google.com/analytics/devguides/config/admin/v1get_tracking_eventsList all GA4 events and their volume for the given date range. Returns every distinct event name with its total event count, sorted by count (highest first). Shows what tracking is configured and active. Google Analytics Data API: https://developers.google.com/analytics/devguides/reporting/data/v1 and Admin API: https://developers.google.com/analytics/devguides/config/admin/v1list_key_eventsList the key events (conversions) configured on a GA4 property. Returns each key event's event name, counting method (ONCE_PER_EVENT or ONCE_PER_SESSION), create time, whether GA4 allows deleting it, whether it is a custom event, and its resource name, sorted by event name, plus the total. Reads the GA4 Admin API (keyEvents.list). Google Analytics Data API: https://developers.google.com/analytics/devguides/reporting/data/v1 and Admin API: https://developers.google.com/analytics/devguides/config/admin/v1list_ga4_dimensions_and_metricsList the dimensions and metrics a GA4 property can report on, including custom ones. Returns the exact API names valid in run_ga4_report for this property: each with its UI name, category, whether it is a custom definition (customEvent:..., customUser:...), and deprecated API names; metrics also carry their type and, for calculated metrics, the expression. Reads the GA4 Data API metadata (properties.getMetadata), which uses no report quota. Google Analytics Data API: https://developers.google.com/analytics/devguides/reporting/data/v1 and Admin API: https://developers.google.com/analytics/devguides/config/admin/v1list_gsc_sitesList all Google Search Console properties the authenticated user can access. Serves as the discovery step for the site URLs that search analytics reports (run_gsc_report) take. Returns the site URL and permission level for each property. Search Console API: https://developers.google.com/webmaster-toolsrun_gsc_reportRun a Google Search Console search analytics report. Returns clicks, impressions, CTR, and average position broken down by the requested dimensions. Useful for diagnosing organic traffic drops, finding keyword opportunities, and cross-referencing with GA4 and Ads data. One request returns at most 25,000 rows; a full page carries next_start_row for the following request. With data_state "all" the response metadata names the first date whose data is still incomplete. Queries the Search Console API: https://developers.google.com/webmaster-tools/v1/searchanalytics/queryanalyze_page_speedRun PageSpeed Insights for a landing page — Lighthouse + real-user data. Returns the performance score (0-100), lab Core Web Vitals (LCP, CLS, TBT, FCP), CrUX field data from real Chrome users where available (p75 LCP/INP/CLS/FCP/TTFB + FAST/AVERAGE/SLOW ratings), and the top improvement opportunities with estimated savings. When the page itself has too little traffic for field data, the origin-wide field data is returned instead, marked field.scope="origin". Typical input is an ad final_url: slow landing pages depress Quality Score and waste paid clicks. Takes 10-30s; that is normal for a Lighthouse run. PageSpeed Insights API: https://developers.google.com/speed/docs/insights/v5/aboutlist_merchant_accountsList Google Merchant Center accounts the connected user can access. Returns each account's numeric ID, name and whether it is a test account. Provides the account_id used by get_merchant_feed_health; not needed when merchant.account_id is set in the config. Merchant API: https://developers.google.com/merchant/api/overviewget_merchant_feed_healthMerchant Center feed health — disapproved products + account issues. Disapproved feed items silently starve Shopping and Performance Max campaigns; this reports approved/pending/disapproved counts per reporting context (Shopping ads, free listings, ...), the top product issues by affected products (with documentation links), and account-level issues — CRITICAL ones stop offers serving entirely. Product-status data lags reality by ~30 minutes. Merchant API: https://developers.google.com/merchant/api/overview- +122 more on the listing page
Google Ads tools 45
google_ads_list_accountsList Google Ads customer accounts accessible with the current credentials.google_ads_get_account_detailsGet detailed information for a specific Google Ads customer account.google_ads_run_gaqlExecute a raw GAQL (Google Ads Query Language) query.google_ads_get_insightsQuery Google Ads performance insights with intelligent query planning.google_ads_get_campaignsList campaigns for a Google Ads account with status, budget, channel type, and bidding strategy.google_ads_get_adgroupsList ad groups for a Google Ads account, optionally filtered by campaign.google_ads_get_keyword_performanceGet keyword-level performance data from keyword_view resource.google_ads_validate_queryValidate metric/dimension/resource compatibility BEFORE executing a query.google_ads_health_checkRead-only connectivity check.google_ads_get_account_hierarchyList accessible customers and, where possible, manager/client relationships from GAQL customer_client.google_ads_get_conversion_actionsList conversion actions with status, type, category, primary/include-in-conversions flags, owner customer, and last activity dates when supported.google_ads_get_change_eventsFetch recent change_event rows.- +33 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
AdLoop
{
"mcpServers": {
"adloop": {
"command": "uvx",
"args": [
"adloop"
]
}
}
}
Google Ads
{
"mcpServers": {
"google-ads-6": {
"command": "npx",
"args": [
"-y",
"@getmcpads/google-ads-mcp-server"
],
"env": {
"GOOGLE_ADS_DEVELOPER_TOKEN": "YOUR_GOOGLE_ADS_DEVELOPER_TOKEN_HERE",
"GOOGLE_ADS_CLIENT_ID": "YOUR_GOOGLE_ADS_CLIENT_ID_HERE",
"GOOGLE_ADS_CLIENT_SECRET": "YOUR_GOOGLE_ADS_CLIENT_SECRET_HERE",
"GOOGLE_ADS_REFRESH_TOKEN": "YOUR_GOOGLE_ADS_REFRESH_TOKEN_HERE",
"GOOGLE_ADS_LOGIN_CUSTOMER_ID": "YOUR_GOOGLE_ADS_LOGIN_CUSTOMER_ID_HERE"
}
}
}
}
Frequently asked questions
AdLoop is categorized under Marketing and uses a local stdio subprocess. Google Ads belongs to Marketing and uses a local stdio subprocess. Pick AdLoop for marketing work and Google Ads for marketing.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
AdLoop has no declared pricing — check the project's own site. Auth: oauth 2.0. Google Ads has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add adloop and google-ads-6 as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, AdLoop has a quality signal of 65/100 (Great) with 1 views, 0 installs and 284 GitHub stars. Google Ads has 55/100 (Good) with 1 views, 0 installs and 1 GitHub stars.