Social MCP
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AlicenseNot gradedqualityFmaintenanceConnects Google Ads, Meta Ads, and LinkedIn Ads to AI assistants, enabling natural language ad campaign management, reporting, and optimization across platforms.MIT- FlicenseNot gradedqualityCmaintenanceConnects AI assistants to Google Ads, Meta Ads, ChatGPT Ads, TikTok Ads and LinkedIn Ads so users can query live campaign performance, budgets and audiences in the account's own currency and prepare changes as proposals that only take effect after explicit approval. Reads run immediately, while every write is staged as an approvable proposal with before/after values, and newly created campaigns, ad sets and ads start paused.1-
- 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.52 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI apps to plan, build, audit, and report on Google Ads, GA4, Search Console, and Tag Manager accounts through natural language. Accounts are read-only by default, and every change is validated in a preview, applied only after confirmation, logged, and reversible.4MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to create, analyze, and optimize ad campaigns across Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Amazon Ads, and ChatGPT Ads through natural language using 400+ tools.105MIT
- AlicenseNot gradedqualityBmaintenanceConnects Meta advertising accounts to AI assistants so users can query campaign performance, pull insights and metrics, and explore audiences and targeting options in natural language. It also allows creating, updating, and deleting campaigns, ad sets, ads, creatives, and lead forms, with new campaigns paused by default and write or destructive actions gated by admin permissions.MIT
TDQS
Scored across 21 tools
Most tools are clearly separated by platform and resource/action, with distinct prefixes like ga4_, google_ads_, and meta_. Some boundaries blur between generic and specialized tools, especially google_ads_query vs google_ads_campaign_performance, and meta_update_entity vs meta_set_status/meta_set_budget.
Names consistently use snake_case with platform prefixes (ga4_, google_ads_, meta_), making the set easy to scan. Minor deviations exist, such as google_ads_campaign_performance being noun-phrase rather than verb_noun, and meta_list_entities being somewhat generic.
21 tools is slightly high in isolation, but reasonable for a server spanning three platforms: GA4, Google Ads, and Meta Ads. Each platform has a focused subset, though the set is near the upper end of what an agent can comfortably navigate.
The surface covers reporting, status changes, budgets, and some creation operations, but lifecycle coverage is uneven. Google Ads lacks creation tools for campaigns/ad groups/ads/keywords, and Meta only supports creating campaigns rather than ad sets or ads, creating notable gaps for full ad management.