Namsor Connector for AI agents.
6 live capabilities
Predict gender, origin, and ethnicity from names for better lead enrichment.
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Why people use Namsor
Namsor for Automated Demographic Enrichment
This Connector changes that by letting your agent do the heavy lifting. You can ask it to analyze a name and get back a probability score for gender, origin, and even specific ethnicity. You get structured data instead of just a list of strings.
What Vinkius changes
You get instant, high-accuracy demographic data for any name string without manual research.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Personalizing Cold Outreach
A salesperson asks the agent to find the likely country of origin for a list of 100 leads to adjust the tone of the emails.
- Real-world use case 02
CRM Data Cleanup
A database manager gives the agent a messy list of names and asks it to parse them into first and last name columns.
- Real-world use case 03
Market Research
A brand strategist asks the agent to predict the ethnicity of a new user base to see if they match their target demographic.
Complete set · 6capabilities
The complete Namsor capability set.
These are the exact actions your AI can choose when you ask it to work with Namsor.
01—03
3 capabilities in this set.
Part of 6 available through Namsor.
- 01 Capability
Predict country
Predicts which country a person likely lives in based on their name. It helps you target regional ads more accurately.
- 02 Capability
Predict diaspora
Identifies specific diaspora groups or ethnic clusters within a country. This is great for niche marketing.
- 03 Capability
Predict ethnicity
Predicts US-specific ethnicity like Hispanic, Asian, or White. Use this for localized demographic reporting.
04—06
3 capabilities in this set.
Part of 6 available through Namsor.
- 04 Capability
Predict gender
Predicts gender from a name and gives you a probability score. It helps you tailor your messaging to the right audience.
- 05 Capability
Predict origin
Predicts the country of origin for a name. This helps you understand a customer's background for better personalization.
- 06 Capability
Parse full name
Breaks a full name string into first, last, prefix, and suffix components. It keeps your database organized and searchable.
Set up in minutes
One URL. Then ask Namsor to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Namsor from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7qlG4Y48MpPkJSSv65uwwU2yGlq3T7F1Mc2D5Dj3/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Namsor, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Namsor for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7qlG4Y48MpPkJSSv65uwwU2yGlq3T7F1Mc2D5Dj3/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Namsor URL.
- Step 03
Save and start
Save the connection and enable Namsor in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"namsor": {
"url": "https://edge.vinkius.com/vk_preview_7qlG4Y48MpPkJSSv65uwwU2yGlq3T7F1Mc2D5Dj3/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Namsor
Open Agent mode in chat and ask: "Using Namsor, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"namsor": {
"url": "https://edge.vinkius.com/vk_preview_7qlG4Y48MpPkJSSv65uwwU2yGlq3T7F1Mc2D5Dj3/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Namsor
Ask Copilot: "Using Namsor, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"namsor": {
"url": "https://edge.vinkius.com/vk_preview_7qlG4Y48MpPkJSSv65uwwU2yGlq3T7F1Mc2D5Dj3/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Namsor
Open Cascade and ask: "Using Namsor, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"namsor": {
"url": "https://edge.vinkius.com/vk_preview_7qlG4Y48MpPkJSSv65uwwU2yGlq3T7F1Mc2D5Dj3/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Namsor
Ask Cline: "Using Namsor, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add namsor --transport http "https://edge.vinkius.com/vk_preview_7qlG4Y48MpPkJSSv65uwwU2yGlq3T7F1Mc2D5Dj3/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Namsor
Ask Claude: "Using Namsor, show me...". 6 tools are ready
Where the request belongs
Work Namsor can move forward.
Marketing ops managers who are tired of messy lead lists and growth hackers who need to personalize outreach at scale.
Growth Marketer
Personalizing email campaigns by predicting regional preferences for new leads.
Data Analyst
Cleaning up CRM entries by parsing messy full names into structured first and last name fields.
Lead Gen Specialist
Qualifying cold leads based on predicted ethnicity or country of origin.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep Namsor connected.
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Before you connect
Questions about Namsor.
The practical details behind the request, access and result.
What does Namsor MCP do for my marketing data?
It predicts demographics like gender, country of origin, and ethnicity from name strings. This helps you personalize your outreach and understand your audience better.
Can Namsor MCP tell me where a lead lives?
Yes, it predicts the likely country of residency based on the name provided. This is useful for regional targeting.
How does Namsor MCP help with CRM cleanup?
It parses full names into structured components like first name, last name, and titles. This keeps your database clean and searchable.
Is Namsor MCP accurate for gender prediction?
It provides high-probability scores based on onomastic analysis, giving you a much more reliable metric than manual guessing.
Can I use Namsor MCP to find US ethnicity?
Yes, it includes specific models to predict US ethnicity, such as Hispanic, Asian, and White, for localized insights.
Does Namsor MCP work with my current AI client?
It works with any MCP-compatible client like Claude, Cursor, or Windsurf once you connect it via Vinkius.
Can I predict gender using only a name?
Yes! Use the predict_gender capability. Provide the first and last name, and the agent will return the most likely gender and its probability.
One connection away
Give your agent a direct line to Namsor.
Connect Namsor once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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