# Namsor MCP for AI Agents AI Agent Connect

> Namsor MCP for AI agents. This tool lets you detect gender, origin, and ethnicity from names, parse full names into structured data, and format international phone numbers. It uses onomastic algorithms to turn messy text into clean, actionable demographics. Use it to enrich lead lists, personalize marketing, or clean up legacy databases without manual research.

## Overview
- **Category:** artificial-intelligence
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_XPbCuCtoKXjrEmdQJb1gTcc2ZoOpLy3abmBDUnc2/ai-agent-connect
- **Tags:** data-enrichment, name-analysis, gender-detection, ethnicity-classification, onomastics, contact-validation

## Description

Connect Namsor to your AI agent to handle the heavy lifting of name analysis and demographic enrichment. If you're looking at a spreadsheet of thousands of leads and need to know how to address them, this Connector provides the answers. It takes messy, unstructured name strings and turns them into clean data points. You can identify the likely country of origin for a customer, predict gender for more personal email campaigns, or see how a name fits into US Census categories for research. 

Instead of manually researching cultural naming conventions, your agent can process your entire list in seconds. It handles the nuances of global names so you don't have to worry about getting the country code wrong or misformatting a phone number. It's a core part of the Vinkius catalog, designed for people who need accurate data without the manual effort. You get structured first and last names, validated contact info, and cultural insights that help you make better decisions. 

This is about getting your data ready for use. Whether you're cleaning up a legacy database or preparing a new marketing blast, Namsor gives your agent the context it needs to be useful. You get to stop copy-pasting and start using the information.

## Tools

### parse_name
Splits a full name into its components. This keeps your CRM fields organized and consistent.

### format_phone
Validates and formats international phone numbers. It uses the name context to ensure the correct country code.

### get_us_race_ethnicity
Classifies a name into US Census categories. This helps with demographic segmentation and research.

### get_gender
Predicts the gender of a person based on their name. You can use this to personalize your outgoing communications.

### get_origin
Identifies the likely country of origin for a name. It provides ISO2 codes for easy integration with other systems.

## Prompt Examples

**Prompt:** 
```
What's the likely gender for the name Alex Johnson?
```

**Response:** 
```
I've analyzed the name for you. Here are the results:

- **Name:** Alex Johnson
- **Likely Gender:** Male
- **Confidence:** High
- **Note:** This is based on onomastic data patterns.
```

**Prompt:** 
```
Identify the country of origin for the name 'Satoshi Nakamoto'.
```

**Response:** 
```
Based on the name 'Satoshi Nakamoto', here is the origin data:

- **Country:** Japan
- **ISO Code:** JP
- **Confidence:** Very High
```

**Prompt:** 
```
Format the phone number 5551234567 for a person named Maria Garcia.
```

**Response:** 
```
I've formatted that number for you using the context of the name Maria Garcia.

- **Original:** 5551234567
- **Formatted:** +1 555-123-4567
- **Status:** Validated
```

## Capabilities

### Predict gender from names
Identify the likely gender associated with a name using cultural data.

### Identify country of origin
Get the most probable country of origin for any name with ISO2 codes.

### Classify US Census ethnicity
Categorize names into specific US Census race and ethnicity categories.

### Split full names into components
Automatically separate first and last names from single name strings.

### Validate and format phone numbers
Standardize international phone numbers based on the name's origin context.

## Use Cases

### Personalizing a global email blast
A marketing manager asks the agent to check the gender and country of origin for 500 leads to ensure the greeting is culturally appropriate.

### Cleaning a messy legacy database
A data scientist gives the agent a list of full names in one column and asks it to split them into first and last name fields using parse_name.

### Validating international sales leads
A sales op asks the agent to take a list of raw phone numbers and format them correctly based on the names provided.

### Demographic research for a new product
A researcher uses get_us_race_ethnicity to categorize a list of names into census categories for a new market study.

## Benefits

- Stop guessing gender for your email campaigns by using get_gender to predict demographics with high confidence.
- Keep your CRM data clean by using parse_name to automatically separate first and last name components.
- Reach customers globally without errors by using format_phone to standardize international numbers.
- Gain cultural insights for every lead by using get_origin to identify the likely country of origin.
- Perform accurate demographic research by using get_us_race_ethnicity to map names to US Census categories.

## How It Works

The bottom line is you get clean, enriched demographic data from messy name strings without manual research.

1. Subscribe to the Namsor MCP via the Vinkius catalog.
2. Add your Namsor API key to your AI client configuration.
3. Ask your agent to clean, parse, or enrich your name and phone lists.

## Frequently Asked Questions

**Does Namsor MCP help with international phone numbers?**
Yes, it uses the name context to figure out the correct format and country code for international numbers.

**Can Namsor MCP tell me where a person is from?**
It identifies the most likely country of origin based on the name provided.

**How does Namsor MCP handle messy name lists?**
It parses the strings into structured first and last name components automatically.

**Can I use Namsor MCP for marketing personalization?**
It is perfect for predicting gender and origin to help you create more personalized email campaigns.

**Does Namsor MCP work for US census data?**
Yes, it can classify names into specific US Census race and ethnicity categories for your research.

**Is Namsor MCP accurate for all names?**
It uses sophisticated onomastic algorithms to provide high-confidence predictions for the majority of names.

**Can I determine if a name is male or female using this server?**
Yes! Use the `get_gender` tool by providing a first and last name. The AI will return the likely gender along with a confidence score.

**How do I split a full name string into first and last names?**
You can use the `parse_name` tool. Just provide the full name string, and it will return the structured components.

**Does this support US Census race and ethnicity categories?**
Yes, the `get_us_race_ethnicity` tool classifies names into White, Black, Asian/Pacific Islander (API), and Hispanic categories based on US Census data.