- GEO
- PROB
- RAW
- HUMAN
Short answer
How can I group names by country using AI?
Your AI uses linguistic pattern recognition to assign geographic probabilities to every name in your list. You get a structured dataset where names are sorted into specific country buckets based on these patterns.
The results.
Where your data lands.
The AI processes your list and outputs these specific results.
GEO
Country buckets
The AI assigns a primary country to each name. You get a clean list grouped by nationality.
PROB
Confidence scores
Every prediction includes a probability metric. You can see how certain the AI is about each specific match.
RAW
Linguistic markers
The AI identifies the specific patterns used for the classification. This helps you understand the logic behind the grouping.
HUMAN
Manual review
You decide which low-confidence names need a second look. The AI flags the outliers for your final approval.
The workflow
What your AI does when the list arrives.
The AI handles the heavy lifting of pattern matching so you don't have to manually check origins.
Pattern scanning
The AI reads through your provided name list to identify phonetic and structural markers.
predict_nationalityProbability mapping
It compares these markers against known linguistic distributions to find the best fit.
predict_nationalityBucket assignment
The AI organizes the names into the most likely geographic categories.
predict_nationalityConfidence flagging
It marks entries where the linguistic patterns are ambiguous or split between regions.
predict_nationality
Try it
Copy these to start.
Use these prompts to kick off the process.
Starting points
These are opening lines. Swap out the bracketed text with your actual file names or sheet links.
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"
}
}
}Categorize the names in this Google Sheet by their most likely country of origin.
Analyze the list of names in my CSV file and group them into geographic buckets.
Look at the names in this text block and tell me which ones are most likely from Western Europe.
Run a nationality prediction on the names in my contact list and flag any low-confidence results.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Nationalize once, then ask.
Just link the MCP to your client. Your credentials stay encrypted and you can start asking questions immediately.
Connect Nationalize to your AIFAQ
How this task behaves.
- 01
Can the AI change the original names in my file?
No. The AI only reads the names and provides new categorization data. It does not modify your source files.
- 02
Does it work with any name format?
It works best with clean lists of full names, but it can process names found in text blocks or spreadsheets.
- 03
Will the AI delete any of my data?
No. This MCP is read-only for your data. It cannot delete or overwrite your existing records.
- 04
How accurate are the country predictions?
The AI uses linguistic probability. It provides a confidence score so you know when to verify a result yourself.
- 05
Can I use this to find specific ethnic groups?
No. The tool is designed for geographic nationality prediction based on name patterns, not for identifying specific ethnic or racial identities.
More questions about Nationalize? The Connector page answers them. See everything the Nationalize Connector can do
Connect Nationalize to Claude, Cursor, ChatGPT & more
