Inlay
Make any website discoverable by AI agents via MCP, llms.txt, and structured data.
التثبيت
أضف هذا إلى إعدادات MCP في عميلك (Claude Desktop: claude_desktop_config.json، وCursor: .cursor/mcp.json، ويستخدم VS Code وغيره الصيغة نفسها «mcpServers»).
claude mcp add --transport http inlay 'https://inlay.dev/api/mcp/{site_key}'
{
"mcpServers": {
"inlay": {
"type": "http",
"url": "https://inlay.dev/api/mcp/{site_key}"
}
}
}
claude mcp add --transport sse inlay 'https://inlay.dev/api/mcp/{site_key}'
{
"mcpServers": {
"inlay": {
"type": "sse",
"url": "https://inlay.dev/api/mcp/{site_key}"
}
}
}
التوثيق
مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.
Inlay Skills
AI Agent Skills for Website AI Readiness
Agent skills to audit and optimize any website for AI readiness — llms.txt, MCP servers, structured data, semantic HTML, and more.
Install
npx skills add cartoonitunes/inlay-skills
Works with Claude Code, Cursor, Codex, OpenCode, and 35+ other agents.
Skills
🔍 ai-readiness-audit
Audit any website for AI agent readiness using the Inlay API. Get a score out of 100, letter grade, per-category breakdown, and actionable recommendations.
> Audit https://example.com for AI readiness
What it checks:
- llms.txt presence and quality
- MCP server availability
- Structured data (JSON-LD / schema.org)
- Meta tags and Open Graph
- Semantic HTML structure
- AI bot permissions in robots.txt
- Performance, security, accessibility
- Content quality and AI signals
📄 setup-llms-txt
Create and configure llms.txt for your website. Analyzes your project, generates the file, and places it in the right location for your framework.
> Set up llms.txt for this project
🔌 setup-mcp-server
Set up an MCP (Model Context Protocol) server for your website via Inlay. Enables AI agents to search and interact with your site.
> Set up an MCP server for my website
Example Audit Output
📊 AI Readiness Score: 62/100 (C)
Category Score Status
llms.txt 0 ❌
MCP Server 0 ❌
Structured Data 45 ⚠️
Meta Quality 78 ✅
Semantic HTML 85 ✅
Robots & Crawling 60 ⚠️
Performance 72 ✅
🔧 Top Recommendations:
1. Create llms.txt (+15 points)
2. Set up MCP server via Inlay (+12 points)
3. Unblock AI bots in robots.txt (+8 points)
Why AI Readiness Matters
AI agents and AI search engines (ChatGPT, Perplexity, Claude, Gemini) are becoming primary ways people discover and interact with websites. Sites that are optimized for AI agents get:
- Cited more often in AI search results
- Better tool integration with AI assistants
- Higher visibility as AI-first browsing grows
Inlay helps you measure and improve your AI readiness score.
Contributing
Contributions welcome! Open an issue or PR.
License
MIT
الأسئلة الشائعة
ما هو Inlay؟
Make any website discoverable by AI agents via MCP, llms.txt, and structured data.
كيف أثبّت Inlay؟
يعمل كخادم بعيد. في Claude Code: claude mcp add --transport http inlay 'https://inlay.dev/api/mcp/{site_key}'. وفي العملاء الآخرين، الصق إعداد JSON من هذه الصفحة في إعدادات MCP الخاصة بهم.
هل يحتاج Inlay إلى مفتاح API؟
لا يذكر إدراجه في السجل أي مفتاح أو سر إلزامي. قد تتطلب بعض الميزات حسابًا لدى الخدمة التي يتصل بها.
هل Inlay مفتوح المصدر؟
نعم. شيفرته متاحة على GitHub بترخيص MIT.
من يصون Inlay؟
ينشره cartoonitunes. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.
من سجل MCP الرسمي. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.