Setup MCP Server Skill

Set up an MCP (Model Context Protocol) server for your website using Inlay. This lets AI agents like Claude, ChatGPT, and others interact with your site programmatically — searching pages, retrieving content, and using your site's functionality.

What is MCP?

MCP (Model Context Protocol) is a standard that lets AI agents connect to external tools and data sources. An MCP server for your website gives AI agents tools like:

get_site_info — Get site metadata and description
search_pages — Search your site's content
get_page_content — Retrieve specific page content
list_pages — Browse available pages

Workflow

Step 1: Sign Up for Inlay

Go to inlay.dev
Create an account
Add your website (enter your domain)

Step 2: Install the Embed Script

Add the Inlay embed script to your site. This enables Inlay to index your content and serve it via MCP.

Next.js (App Router):

// app/layout.tsx
import Script from 'next/script'

export default function RootLayout({ children }) {
  return (
    <html>
      <body>
        {children}
        <Script
          src="https://cdn.inlay.dev/embed.js"
          data-site-id="YOUR_SITE_ID"
          strategy="afterInteractive"
        />
      </body>
    </html>
  )
}

Next.js (Pages Router):

// pages/_app.tsx
import Script from 'next/script'

export default function App({ Component, pageProps }) {
  return (
    <>
      <Component {...pageProps} />
      <Script
        src="https://cdn.inlay.dev/embed.js"
        data-site-id="YOUR_SITE_ID"
        strategy="afterInteractive"
      />
    </>
  )
}

Astro:

<!-- src/layouts/Base.astro -->
<script src="https://cdn.inlay.dev/embed.js" data-site-id="YOUR_SITE_ID"></script>

Plain HTML:

<script src="https://cdn.inlay.dev/embed.js" data-site-id="YOUR_SITE_ID"></script>

Replace YOUR_SITE_ID with the Site ID from your Inlay dashboard.

Step 3: Verify MCP Endpoint

Once the embed script is installed and Inlay has indexed your site, your MCP endpoint is available at:

https://mcp.inlay.dev/YOUR_SITE_SLUG

Test it:

# Check MCP endpoint is responding
curl -s https://mcp.inlay.dev/YOUR_SITE_SLUG

# List available tools
curl -s -X POST https://mcp.inlay.dev/YOUR_SITE_SLUG \
  -H 'Content-Type: application/json' \
  -d '{"method":"tools/list"}'

Step 4: Test MCP Tools

Test each tool to make sure it works:

# Get site info
curl -s -X POST https://mcp.inlay.dev/YOUR_SITE_SLUG \
  -H 'Content-Type: application/json' \
  -d '{"method":"tools/call","params":{"name":"get_site_info","arguments":{}}}'

# Search pages
curl -s -X POST https://mcp.inlay.dev/YOUR_SITE_SLUG \
  -H 'Content-Type: application/json' \
  -d '{"method":"tools/call","params":{"name":"search_pages","arguments":{"query":"getting started"}}}'

# Get specific page content
curl -s -X POST https://mcp.inlay.dev/YOUR_SITE_SLUG \
  -H 'Content-Type: application/json' \
  -d '{"method":"tools/call","params":{"name":"get_page_content","arguments":{"path":"/"}}}'

Step 5: Advertise Your MCP Server

Make your MCP server discoverable:

Add to llms.txt:

## MCP
- Endpoint: https://mcp.inlay.dev/YOUR_SITE_SLUG
- Tools: get_site_info, search_pages, get_page_content, list_pages

Add meta tag (optional):

<meta name="mcp-server" content="https://mcp.inlay.dev/YOUR_SITE_SLUG">

Step 6: Verify with Audit

Run an AI readiness audit to confirm MCP is detected:

curl -s -X POST https://www.inlay.dev/api/audit \
  -H 'Content-Type: application/json' \
  -d '{"url":"https://YOUR_SITE"}'

The MCP Server category score should now be high.

Tips

Inlay re-indexes your site periodically — new pages appear automatically
The MCP server works with any AI agent that supports MCP (Claude Desktop, Cursor, etc.)
You can configure which pages are indexed in the Inlay dashboard
For private/authenticated content, check Inlay's access control settings

setup-mcp-server