About Inlay
Inlay Skills provides website-audit and setup skills for people improving a site's readiness for AI agents. It audits discoverability and helps configure llms.txt or an MCP server.
Key features
- 01Score AI readiness by category
- 02Check llms.txt and MCP availability
- 03Review structured data and semantic HTML
- 04Generate and place llms.txt
- 05Set up a website MCP server
Use cases
- 01Assess a site's readiness for AI agents
- 02Identify missing discoverability signals
- 03Add llms.txt to a website project
- 04Enable agents to search and interact with a site
MCP support
The setup-mcp-server skill uses Inlay to configure an MCP server for a website, enabling AI agents to search and interact with it. The audit skill also checks MCP server availability.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://inlay.dev/api/mcp/{site_key}claude mcp add --transport http cartoonitunes-inlay https://inlay.dev/api/mcp/{site_key}{"mcpServers":{"cartoonitunes-inlay":{"type":"http","url":"https://inlay.dev/api/mcp/{site_key}"}}}Open in Cursor{"servers":{"cartoonitunes-inlay":{"type":"http","url":"https://inlay.dev/api/mcp/{site_key}"}}}Open in VS Code{"mcpServers":{"cartoonitunes-inlay":{"type":"http","url":"https://inlay.dev/api/mcp/{site_key}"}}}{"mcpServers":{"cartoonitunes-inlay":{"serverUrl":"https://inlay.dev/api/mcp/{site_key}"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://inlay.dev/api/mcp/{site_key}https://inlay.dev/api/mcp/{site_key}Tools
Details
From the project README
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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.