Namsor Connector for AI agents.
5 live capabilities
Clean and enrich lead data with accurate name analysis and demographic insights.
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Why people use Namsor
Namsor for Name Analysis and Demographic Enrichment
With this Connector, your agent does the heavy lifting. You can feed it a raw list and get back structured first and last names, validated international formats, and cultural insights in seconds. It turns a manual cleanup project into a single prompt.
What Vinkius changes
You get clean, enriched demographic data from messy name strings without manual research.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
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.
- Real-world use case 02
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.
- Real-world use case 03
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.
Complete set · 5capabilities
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 5 available through Namsor.
- 01 Capability
Parse name
Splits a full name into its components. This keeps your CRM fields organized and consistent.
- 02 Capability
Format phone
Validates and formats international phone numbers. It uses the name context to ensure the correct country code.
- 03 Capability
Get us race ethnicity
Classifies a name into US Census categories. This helps with demographic segmentation and research.
04—05
2 capabilities in this set.
Part of 5 available through Namsor.
- 04 Capability
Get gender
Predicts the gender of a person based on their name. You can use this to personalize your outgoing communications.
- 05 Capability
Get origin
Identifies the likely country of origin for a name. It provides ISO2 codes for easy integration with other systems.
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_XPbCuCtoKXjrEmdQJb1gTcc2ZoOpLy3abmBDUnc2/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_XPbCuCtoKXjrEmdQJb1gTcc2ZoOpLy3abmBDUnc2/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-alternative": {
"url": "https://edge.vinkius.com/vk_preview_XPbCuCtoKXjrEmdQJb1gTcc2ZoOpLy3abmBDUnc2/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...". 5 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"namsor-alternative": {
"url": "https://edge.vinkius.com/vk_preview_XPbCuCtoKXjrEmdQJb1gTcc2ZoOpLy3abmBDUnc2/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...". 5 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"namsor-alternative": {
"url": "https://edge.vinkius.com/vk_preview_XPbCuCtoKXjrEmdQJb1gTcc2ZoOpLy3abmBDUnc2/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...". 5 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"namsor-alternative": {
"url": "https://edge.vinkius.com/vk_preview_XPbCuCtoKXjrEmdQJb1gTcc2ZoOpLy3abmBDUnc2/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...". 5 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add namsor-alternative --transport http "https://edge.vinkius.com/vk_preview_XPbCuCtoKXjrEmdQJb1gTcc2ZoOpLy3abmBDUnc2/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...". 5 tools are ready
Where the request belongs
Work Namsor can move forward.
This is for data teams, marketing managers, and sales ops who deal with messy lead lists and need to clean up contact info or personalize outreach at scale.
Marketing Manager
Personalizes email campaigns by detecting gender and cultural origin for better open rates.
Data Scientist
Cleans up legacy databases by parsing messy name fields into structured first and last name components.
Sales Operations
Validates international phone numbers to ensure the team is reaching the right people with the correct format.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsNamsor
Automate name analytics via Namsor. predict gender, origin, and ethnicity directly from any AI agent.
Genderize
Predict the gender of a person based on their first name via AI agents with Genderize.io.
Agify
Predict the age of a person based on their first name using the Agify.io API.
PeopleDB
Supercharge your lead generation by letting AI agents enrich B2B profiles and verify contact data instantly.
Nationalize
Predict the nationality of a person based on their name using the Nationalize.io API.
AbstractAPI
Equip your AI agent with AbstractAPI's data enrichment. validate emails, geolocate IPs, check phone numbers, and enrich company data.
Bring your own AI
Change the model, client or framework. Keep Namsor connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Namsor.
The practical details behind the request, access and result.
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 capability 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 capability. 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 capability classifies names into White, Black, Asian/Pacific Islander (API), and Hispanic categories based on US Census data.
One connection away
Give your agent a direct line to Namsor.
Connect Namsor once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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