# Inlay

**Category:** 💻 Developer Tools  
**Repository:** https://github.com/cartoonitunes/inlay-skills  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/inlay

## Description
Make any website discoverable by AI agents via MCP, llms.txt, and structured data.

## Claude Desktop Quick Installation
Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low):

```json
"mcpServers": {
  "inlay": {
    "command": "npx",
    "args": ["-y","inlay"]
  }
}
```

## Documentation & README

<p align="center">
  <h1 align="center">Inlay Skills</h1>
</p>

<p align="center">
  <strong>AI Agent Skills for Website AI Readiness</strong>
</p>

<p align="center">
  <a href="https://inlay.dev"><img src="https://img.shields.io/badge/Website-inlay.dev-black?style=flat-square" alt="Website"></a>
  <a href="https://skills.sh/cartoonitunes/inlay-skills"><img src="https://img.shields.io/badge/Browse-skills.sh-blue?style=flat-square" alt="Browse on skills.sh"></a>
  <a href="https://github.com/cartoonitunes/inlay-skills/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-green?style=flat-square" alt="MIT License"></a>
</p>

<p align="center">
  Agent skills to audit and optimize any website for AI readiness — llms.txt, MCP servers, structured data, semantic HTML, and more.
</p>

---

## Install

```bash
npx skills add cartoonitunes/inlay-skills
```

Works with **Claude Code**, **Cursor**, **Codex**, **OpenCode**, and [35+ other agents](https://skills.sh).

## Skills

### 🔍 [ai-readiness-audit](https://github.com/cartoonitunes/inlay-skills/blob/HEAD/skills/ai-readiness-audit/SKILL.md)

Audit any website for AI agent readiness using the [Inlay API](https://inlay.dev). 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](https://github.com/cartoonitunes/inlay-skills/blob/HEAD/skills/setup-llms-txt/SKILL.md)

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](https://github.com/cartoonitunes/inlay-skills/blob/HEAD/skills/setup-mcp-server/SKILL.md)

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](https://inlay.dev) helps you measure and improve your AI readiness score.

## Contributing

Contributions welcome! Open an issue or PR.

## License

MIT