All servers · Web search · Company & business data
AI Visibility Index
io.github.pulse-digital-dev/mcp-ai-visibility-index · v1.0.0
No registry update 90+ days
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-03-26 |
| Rank score | — |
| Declared risk | Read-only (all tools declare readOnlyHint) |
| Capabilities declared | tools |
| Tool definitions | 3 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
AI visibility rankings for 104 Japanese EC companies across ChatGPT, Claude, Gemini, Perplexity.
Connect
streamable-http · https://ai-visibility-index.dev/mcp
claude mcp add --transport http mcp-ai-visibility-index https://ai-visibility-index.dev/mcp{
"mcpServers": {
"mcp-ai-visibility-index": {
"url": "https://ai-visibility-index.dev/mcp"
}
}
}Tools as reported by the server
check_ai_visibilityCheck the AI visibility (LLMO/GEO) score for a specific domain. Returns the overall score (0-100), scores from 4 AI engines (ChatGPT, Claude, Gemini, Perplexity), citation rate, and industry ranking. Data is based on the AI Visibility Index monthly scan of 104 Japanese EC companies. Useful for LLMOlist_ai_visibility_industriesList all industries covered by the AI Visibility Index with their average LLMO/GEO scores, company counts, and score ranges. Currently covers 9 Japanese EC industries with 104 companies total. | 9業界のAI可視性スコア平均・企業数・スコア範囲を一覧表示。get_ai_visibility_methodologyGet the AI Visibility Index scoring methodology: how LLMO/GEO scores are calculated, which AI engines are tested (ChatGPT, Claude, Gemini, Perplexity), query types, scoring formula, and data freshness. | スコアリング方法論（計算式・対象エンジン・クエリ種別・データ更新頻度）。
Repository · Website · JSON · Text for agents · Registry updated 2026-06-16