Google Ads MCP
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Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables managing and analyzing ad accounts in plain language from AI assistants, including cross-account performance reports, keyword research, GAQL queries, and safe previewed changes.MIT
- AlicenseAqualityAmaintenanceEnables reading and analyzing Google Ads data, planning keywords, and previewing campaign changes before applying them, all through natural language.3579 npmApache 2.0
- AlicenseNot gradedqualityNot gradedmaintenanceEnables AI assistants to manage Google Ads accounts by providing tools for querying account data and performing write operations such as updating campaign budgets, statuses, and bidding strategies.2Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables full Google Ads management through natural language, including reading campaigns, performance, ROAS, keywords, and search terms, as well as pausing, enabling, removing, and creating campaigns, ad groups, ads, keywords, budgets, and responsive search ads.MIT
- AlicenseNot gradedqualityBmaintenanceEnables querying and managing Google Ads campaigns, keywords, assets, and more via natural language, with support for multiple MCP clients.84 npm1MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage, report, and analyze Google Ads campaigns securely with encrypted multi-client support, real-time API integrations, and audit trail logging.24 npmMIT
TDQS
Scored across 31 tools
Every tool targets a distinct resource or action (e.g., create_ad vs. create_campaign, get_keywords vs. get_recommendations). No two tools have overlapping purposes, and even similar verbs like 'enable' and 'pause' are clearly separated by entity.
All tool names follow a consistent verb_noun pattern (e.g., create_campaign, get_keywords, pause_ad). Verbs like 'apply', 'dismiss', 'generate', 'list', 'run' are distinct and appropriately used. No mixing of casing or other conventions.
With 31 tools, the server covers a broad range of Google Ads operations without becoming unwieldy. Each tool serves a specific purpose, and the count is reasonable given the complexity of the domain.
The toolset lacks update operations for most entities (e.g., no update_ad, update_campaign, update_ad_group) and no removal tools. While raw GAQL queries can fill some gaps, the surface is incomplete for standard lifecycle management.