amazon-ads-mcp
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- FlicenseNot gradedqualityDmaintenanceEnables users to analyze, manage, and optimize digital advertising campaigns through natural language conversations in Claude, offering performance insights, interactive visualizations, and campaign management for platforms like Amazon Ads.4-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query campaign performance, metrics, audiences, and geography, and to analyze budgets, wasted spend, and account health through natural language.1MIT

AdCrunch MCP Serverofficial
FlicenseNot gradedqualityDmaintenanceEnables querying ad campaign performance and setup across Meta, TikTok, and Google Ads using natural language through AI agents.1-- AlicenseNot gradedqualityCmaintenanceEnables natural-language access to TikTok Ads Manager data—spend, impressions, clicks, conversions, and cost per conversion—at account, campaign, ad group, and ad level, including daily breakdowns.MIT
- AlicenseAqualityCmaintenanceEnables AI assistants to interact with the Amazon Advertising API to manage campaigns, keywords, product ads, and retrieve performance metrics.934 npm3MIT
- FlicenseBqualityDmaintenanceEnables natural language querying of marketing analytics across Google Search Console, GA4, Google Ads, HubSpot, and Bing. Provides tools for search queries, traffic, campaign performance, and composite cross-platform rollups.79-
TDQS
Scored across 23 tools
Each tool targets a distinct resource and action, with clear prefixes (amc_, dsp_, sb_, sd_, sp_) and descriptive verbs (create, list, get, download). No two tools are ambiguous; even similar listing tools differ by ad product type.
Most tools follow a consistent pattern: domain prefix (e.g., amc_, dsp_, sp_) + verb + noun. The only slight deviation is 'health_check', which uses noun_noun instead of verb_noun, but it's a common exception. Overall, naming is predictable and well-structured.
With 23 tools covering AMC workflows, multiple ad product types (Sponsored Products, Brands, Display), DSP, and general profile/health, the number is well-scoped. Each tool earns its place, and there is no bloat or redundancy.
The tool surface is strong for listing and reporting but lacks mutation operations (create, update, delete) for campaigns, ad groups, keywords, and targets. There are no tools to manage budgets or bids, which are essential for advertising management, leaving notable gaps.