prompteye-mcp
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- AlicenseAqualityAmaintenanceFind out how AI assistants and search engines talk about your brand. Ask how often ChatGPT, Perplexity and Google's AI answers mention you, where you rank, how positive those mentions are, which sites they cite, and how you compare with competitors. Your assistant can also set up and adjust the monitoring for you, showing a preview and asking before anything that deletes data or uses up your plan.61203 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables tracking AI search visibility by showing how ChatGPT, Gemini, Google AI Mode, and Google AI Overviews answer your tracked questions, whether they mention your brand, how you compare with competitors, and which sources they cite.MIT
- AlicenseAqualityCmaintenanceEnables brand visibility monitoring across major AI platforms like ChatGPT, Claude, Gemini, and Perplexity. It allows users to track visibility scores, analyze competitor data, and receive actionable insights to improve AI-generated brand recommendations.1624 npm1MIT
- FlicenseNot gradedqualityCmaintenanceEnables querying how often a brand is recommended by AI search and chat surfaces, returning recommendation and inclusion rates for any given brand.-
- AlicenseAqualityCmaintenanceTrack how your brand appears in AI-generated answers across ChatGPT, Perplexity, and other AI models. Analyze visibility, sentiment, citations, and domain rankings with 31 tools — including analytics reports, chat inspection, query analysis, and full CRUD for brands, prompts, tags, and topics.17111 npm2MIT
- AlicenseAqualityCmaintenanceTrack brand visibility across ChatGPT, Perplexity, Claude, and Gemini.692 npm10MIT
TDQS
Scored across 56 tools
Tools have largely distinct purposes, and descriptions explicitly cross-reference and distinguish similar pairs (e.g., list_sources vs list_source_pages, get_integrations_status vs get_google_status). However, with 56 tools, some pairs like list_bot_visits vs list_crawls still require careful reading to avoid misselection.
Nearly all names follow a consistent snake_case verb_noun pattern (get_, list_, create_, update_, etc.). Minor variations like upsert_, count_, and read_ are still predictable and clear, with no mixed conventions.
56 tools far exceeds practical MCP scope, creating a heavy surface that risks agent confusion and context overload despite the platform's breadth. The rubric defines 50+ tools as an extreme mismatch.
The surface covers most CRUD and lifecycle operations for projects, prompts, competitors, content, analytics, and reports, with good coverage of creation, reading, updating, and exclusions. Minor gaps include no delete/update for categories and no delete for projects or prompts (pause is available), but these are workable.