prompteye-mcp
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- AlicenseAqualityBmaintenanceFind 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.68103 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.1623 npm1MIT

Firemark MCP serverofficial
AlicenseNot gradedqualityAmaintenanceConnects AI assistants to AI visibility tracking data so users can inspect brand rankings, competitors, cited sources, and ChatGPT fan-out queries, run prompt-set interviews, and, with permission, approve or edit brands.MIT- AlicenseNot gradedqualityCmaintenanceEnables querying how often a brand is recommended by AI search and chat surfaces, returning recommendation and inclusion rates for any given brand.MIT
- 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.1786 npm2MIT
TDQS
Scored across 60 tools
Tools map to distinct resources and lifecycle stages, and the descriptions explicitly disambiguate overlapping measurements (search performance vs AI traffic vs sources vs answers) and artifacts (public report vs brand analysis). A few pairs still overlap in practice—get_integrations_status vs get_google_status, and the four bot-visit/crawl tools—so an agent may hesitate, but the boundaries are documented.
All tools are snake_case and verb-first, with predictable families (list_, get_, create_, update_, delete_, set_, generate_, create_/get_ for async artifacts). Minor verb variation such as read_help_article, count_bot_visits and upsert_prompt_group is semantic and consistent within each family.
60 tools is far above a manageable set for an agent, even for a broad platform. Many read/status tools could be consolidated, and the sheer size materially increases tool-selection burden.
Core workflows are well covered: project/prompt tracking, metrics, content lifecycle, audits, topical maps, public reports and help. Some lifecycle gaps remain—no project deletion/archive, no category update/delete, no article or topical-map deletion, and prompt deletion is replaced by pausing—but agents can work around them.