A
licenseNot graded
qualityC
maintenanceEvaluates any website's AI visibility with 15 checks across crawlability, structure, content, and connectivity, and provides actionable fixes.
4 npm
MIT
ai-visibility-mcp
by draltaway
ai-visibility-mcp
AIアシスタントに、あるウェブサイトがAI検索エンジンやAIアシスタント（ChatGPT、Claude、Perplexity、Google AI Overviews）にどれだけ発見されやすいかを伝えるMCPサーバーです。
URLを渡すと、それらのシステムがサイトを発見し、読み、引用できるかを左右するシグナルを報告し、ひと目でわかる0〜100のスコアにまとめます。
チェックする内容
シグナル | 重要な理由 |
|
|
| サイトの重要な事実をLLM向けに平文でまとめたマップ |
構造化データ（JSON-LD） | 回答エンジンが読み取って引用できる機械可読な意味情報 |
| クローラーがすべてのページを見つけるのに役立ちます |
タイトル、メタディスクリプション、H1 | エンジンが最初に読む、ページ内の基本的なシグナル |
Related MCP server: maxaeo-ai-visibility-mcp
インストール
git clone https://github.com/draltaway/ai-visibility-mcp
cd ai-visibility-mcp
python -m pip install -e .HTTP関連は標準ライブラリのみ。唯一の依存関係は FastMCP です。
Claude Code から使う
claude mcp add ai-visibility -- ai-visibility-mcpClaude Desktop から使う
claude_desktop_config.json に追加：
{
"mcpServers": {
"ai-visibility": {
"command": "ai-visibility-mcp"
}
}
}次に、"stripe.comのAI可視性を確認してください。" と尋ねます。
出力例
{
"url": "https://stripe.com",
"score": 90,
"summary": "Strong: AI engines can find, read, and cite this site.",
"checks": {
"ai_crawlers_allowed": true,
"ai_crawlers_blocked": [],
"llms_txt": true,
"sitemap": false,
"homepage_reachable": true,
"structured_data": true,
"title": true,
"meta_description": true,
"h1": true
}
}ツール
check_ai_visibility(url: str) -> dict は { url, score, summary, checks } を返します。ホスト名のみ（example.com）または完全なURLを受け付けし、デフォルトでは https を使います。
ライセンス
MIT。作者は Dallin Rowley です。
Available Tools
1 toolcheck_ai_visibilityA
Check how discoverable a website is to AI assistants and AI search engines.
Inputs: url (required). Returns: object
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
TDQS
A3.7/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of confusion or overlap. The tool's purpose is clearly unique and distinct.
Naming Consistency5/5
A single tool with a descriptive snake_case verb_noun name. There is no inconsistency to assess, but the naming is clear and follows conventional MCP patterns.
Tool Count3/5
A single tool feels thin for a dedicated MCP server, even for a focused purpose. The borderline count leaves little room for related operations but is not excessively sparse.
Completeness4/5
The tool directly covers the core stated purpose of checking AI visibility. Minor gaps exist, such as batch checks or historical analysis, but they do not block the primary use case.
Related MCP Connectors
Score any website's AI search visibility out of 100 and see which of 20 AI crawlers can read it.
Audit any site's AI visibility from your assistant: crawler access, rendering, and schema.
Checks llms.txt, AI crawler access in robots.txt, and sitemap - with a 0-100 AI readiness score.
Check if a site is ready for AI search: AI crawler access, llms.txt, JSON-LD, scored out of 100.
Related MCP Servers
- AlicenseAqualityCmaintenanceEnables AI agents to check whether a public website is crawlable, understandable, and ready for AI search workflows through local-only audits of robots.txt, sitemaps, metadata, and llms.txt.380 npm2MIT
- AlicenseAqualityCmaintenanceCheck whether a website is visible to AI search engines (ChatGPT, Perplexity, Claude, Google AI Overviews). Returns a 0-100 readiness score, a grade, and a specific fix for each gap. Dependency-free, no API keys.25 npmMIT
- AlicenseAqualityBmaintenanceProvides AI-visibility scoring and site auditing capabilities for websites, enabling agents to check how sites appear in AI engines like ChatGPT and Perplexity, run full SEO/security audits, and monitor changes over time.20333 npm1MIT