Summary
This server connects Claude to the Inlay API for auditing and improving website AI readiness. It exposes three main operations: running comprehensive AI readiness audits that score sites across llms.txt presence, MCP availability, structured data, semantic HTML, and robot permissions; generating llms.txt files tailored to your project structure; and setting up MCP servers through Inlay to make your site discoverable to AI agents. You'd reach for this when preparing a website for AI search engines like Perplexity or ChatGPT, or when you want measurable feedback on how well AI agents can crawl and understand your content. The audit returns a numerical score with specific recommendations for improvement.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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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
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Categories
Registryactive
TransportHTTP, SSE
UpdatedFeb 18, 2026
