Inlay

io.github.cartoonitunesPublished by GitHub account cartoonitunesv1.0.1Updated Oct 24, 2026

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

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingDeveloper Tools

Overview

AI-generated overview

Inlay is a remote MCP endpoint that helps make a website discoverable by AI agents through llms.txt, MCP servers and structured data.

What you can do
Audit a website for AI readiness, returning a score out of 100, a letter grade, per-category breakdown and recommendations covering llms.txt, MCP availability, structured data, meta tags, semantic HTML, robots.txt bot permissions, performance, security and accessibility. Create and configure an llms.txt file, analyzing a project and placing the file in the right location for its framework. Set up an MCP server for a website through Inlay so AI agents can search and interact with the site.
When to use it
Use it when you want to measure how well a site is set up for AI agents and AI search engines, or when you need to add llms.txt or an MCP server to a website and want guided setup.
Requirements
A remote endpoint at inlay.dev; no packages, environment variables or headers are declared. The README's skills are installed separately with an npx command and work with Claude Code, Cursor, Codex, OpenCode and other agents.
Before you install
The README describes audits that call the Inlay API and setup steps that generate files and place them in your project, so expect changes to your codebase. No authentication, credentials or pricing are declared in the manifest.

Installation

In SourceWeft

  1. Open Inlay in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Follow the launch instructions in the repository.

README

Inlay Skills

AI Agent Skills for Website AI Readiness

[Website] [Browse on skills.sh] [MIT License]

Agent skills to audit and optimize any website for AI readiness — llms.txt, MCP servers, structured data, semantic HTML, and more.

Install

bash
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   Statusllms.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

Source: README.md at commit c73a176

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v1.0.1LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declaredRequired10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts