mcpbeat

AI Visibility Index MCP Server

io.github.pulse-digital-dev/mcp-ai-visibility-index
answering

AI Visibility Index is answering right now. Last checked 4 min ago. It exposes 3 tools. Last commit 16 Jun 2026.

AI visibility rankings for 104 Japanese EC companies across ChatGPT, Claude, Gemini, Perplexity.

Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
3
Tools
read from the server
126 ms
Response time
average over 24h
0
Stars
last commit 16 Jun 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.

run in your terminal
claude mcp add mcp-ai-visibility-index --transport http https://ai-visibility-index.dev/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-ai-visibility-index": {
      "url": "https://ai-visibility-index.dev/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-ai-visibility-index]
url = "https://ai-visibility-index.dev/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-ai-visibility-index": {
      "url": "https://ai-visibility-index.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp-ai-visibility-index": {
      "url": "https://ai-visibility-index.dev/mcp"
    }
  }
}

Available tools 3

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

visibility
check_ai_visibility
Check 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 LLMO (Large Language Model Optimization) and GEO (Generative Engine Optimization) analysis. | 日本EC企業104社のAI検索可視性スコアをドメイン指定で照会。
get_ai_visibility_methodology
Get 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）。
list_ai_visibility_industries
List 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。

Endpoints

URLTransportStateLatencyChecked
https://ai-visibility-index.dev/mcp streamable-http answering 123 ms 4 min ago

AI Visibility Index — questions

Answers built from our own checks of this server.

What can AI Visibility Index do?
It exposes 3 tools, read directly from the server on our last check. Among them: check_ai_visibility, get_ai_visibility_methodology, list_ai_visibility_industries. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is AI Visibility Index working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 126 ms. The bar chart above shows every period we have measured.
How do I connect AI Visibility Index?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AI Visibility Index need an API key?
No. AI Visibility Index completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AI Visibility Index?
It answers our handshake in 126 ms on average, which is faster than 78% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is AI Visibility Index open source?
Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.