• CLEAN DATA
  • STRUCTURE
  • REDUNDANCY
  • HUMAN

How to normalize domain lists with your AI

Connect the Public Suffix Extractor once. After that, your AI handles the heavy lifting of cleaning up URL datasets.

Ask AI about this page

Short answer

How do I normalize domain lists with my AI?

Your AI uses the extract_domain tool to strip subdomains and suffixes from raw URLs. This leaves you with a clean list of primary registrable domains. You'll get a structured dataset ready for analysis.

Where every issue lands.

The outcomes of normalization

The AI processes your raw data into these specific formats.

CLEAN DATA

Primary domains only

The AI uses extract_domain to pull the registrable domain from any URL. You get a list of actual brands and sites without the clutter.

STRUCTURE

Organized datasets

Your agent turns a chaotic text block into a structured list. This makes it easy to count unique visitors or group domains by owner.

REDUNDANCY

Removed duplicates

The AI identifies and collapses multiple subdomains into a single entry. You won't have 'blog.site.com' and 'shop.site.com' cluttering your counts.

HUMAN

Manual review

You decide which edge cases or unusual TLDs need a second look. The AI flags the data, but you make the final call on accuracy.

The workflow

What your AI does when the data arrives.

The AI acts as a filter between your messy input and your final report.

  1. Identify suffixes

    The AI looks at your list to find where the domain ends and the public suffix begins.

    extract_domain

  2. Strip subdomains

    It removes everything before the registrable domain to isolate the core site.

    extract_domain

  3. Isolate registrable domains

    The agent extracts the specific domain name you actually need for your analysis.

    extract_domain

  4. Format output

    The AI organizes these domains into a clean, usable list or table.

    extract_domain

Try it

Copy these to start.

Use these prompts to trigger the normalization process.

Starting points

Replace the bracketed text with your actual data source.

psl Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_LmUqJapaOSRBG8u0znMC3iVKUNjgZCM8mbyDzszm/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — psl capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "public-suffix-extractor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_LmUqJapaOSRBG8u0znMC3iVKUNjgZCM8mbyDzszm/mcp"
    }
  }
}
Copy into chat04

  • Normalize this list of URLs from my Google Sheet: [paste URLs]

  • Extract the primary registrable domains from this CSV data: [paste data]

  • Clean up these subdomains found in my marketing report: [paste list]

  • Give me a unique list of domains from these website links: [paste links]

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Public Suffix Extractor once, then ask.

Just click the link to connect. Your credentials stay encrypted, and you can start prompting immediately in your preferred client.

Connect Public Suffix Extractor to your AI

FAQ

How this task behaves

  • 01

    Can the AI delete my original URL list?

    No. The AI only reads the data you provide to generate a new, cleaned list.

  • 02

    Will it change the actual website content?

    No. It only processes the text strings of the URLs you give it.

  • 03

    Does it handle custom or internal TLDs?

    It relies on the public suffix list to identify boundaries, so it may struggle with non-standard, private suffixes unless you provide context.

  • 04

    Can it automatically update my live database?

    No. The AI generates the cleaned data in your chat interface; you must manually move it to your database.

  • 05

    How does it know what a domain is?

    It uses the extract_domain tool to parse the URL structure against known public suffixes.

  • More questions about Public Suffix Extractor? The Connector page answers them. See everything the Public Suffix Extractor Connector can do

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