- ENRICHED
- SEGMENTED
- HUMAN
- CLEANED
Short answer
How do I add nationality data to my user lists using AI?
Your AI client uses name-based patterns to predict the likely nationality of individuals in your datasets. This adds a layer of geographic context to your existing user profiles or lead lists. You'll see how the data maps to your specific files below.
Data outcomes
Where the data lands.
The AI processes your lists and organizes the results into these categories.
ENRICHED
Updated user profiles
The AI adds predicted nationality fields to your existing user records. You get a more complete picture of your audience's origins.
SEGMENTED
Targeted lead lists
Your lead lists get tagged with geographic context. This lets you group contacts by likely region or cultural background.
HUMAN
Manual review needed
Predictions are based on name patterns and aren't absolute facts. You'll need to decide which segments are reliable enough for high-stakes campaigns.
CLEANED
Refined datasets
The AI identifies patterns in your raw name columns. You end up with structured data ready for your CRM or marketing tools.
The workflow
What your AI does when the data arrives.
The AI handles the heavy lifting of pattern matching so you don't have to manually research names.
Read name data
Your AI client scans your provided spreadsheets or contact lists to find name columns.
predict_nationalityAnalyze patterns
The AI runs each name through the prediction engine to find linguistic and cultural markers.
predict_nationalityMap nationalities
The tool assigns a predicted nationality to every entry it processes.
predict_nationalityFormat output
The AI prepares the new data so it fits perfectly into your existing workflow or file structure.
predict_nationality
Try it
Copy these to start.
Use these prompts to kick off the process in your AI client.
Starting points
Swap out the bracketed text for your actual file names or sheet names.
Nationalize Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_KzfhBMZVFCpOsX31Stgg9RxJjW5okZ0uZxpHp1oj/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Nationalize capabilities are ready to use.
{
"mcpServers": {
"nationalize-mcp": {
"url": "https://edge.vinkius.com/vk_preview_KzfhBMZVFCpOsX31Stgg9RxJjW5okZ0uZxpHp1oj/mcp"
}
}
}Predict the nationality for every name in my 'leads_2024.csv' file.
Look at the contact list in my Google Sheet and add a nationality column.
Analyze the names in this CRM export and tell me which ones are likely from Brazil.
Go through my user database and flag any names that suggest a specific geographic origin.
Claude
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Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Nationalize once, then ask.
Just click the link to connect the MCP to your client. Your credentials stay encrypted, and you can start asking questions immediately.
Connect Nationalize to your AIFAQ
How the task behaves.
- 01
Is the nationality prediction 100% accurate?
No. The AI makes predictions based on name patterns, which is not the same as verified citizenship or legal nationality.
- 02
Can the AI change the names in my original file?
No. The AI only reads your data and generates new predictions; it does not modify your original source files.
- 03
Does it work with any file type?
It works with any text-based or structured data your AI client can read, like CSVs or spreadsheets.
- 04
Can the AI verify a person's actual passport info?
No. The tool only predicts nationality based on the linguistic patterns of a name.
- 05
Do I need to provide the country names?
No. You just provide the names, and the AI predicts the nationality for you.
More questions about Nationalize? The Connector page answers them. See everything the Nationalize Connector can do
Connect Nationalize to Claude, Cursor, ChatGPT & more
