Genderize Connector for AI agents.
8 live capabilities
Get accurate gender probabilities for name-based lead enrichment.
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Why people use Genderize
Genderize for Automated Lead Enrichment
With this Connector, you just hand the list to your agent. It queries the Genderize database and returns the gender, a probability score, and a data count for every name. You get a clean dataset ready for your next campaign in seconds.
What Vinkius changes
You get accurate gender probabilities for any name in seconds.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Personalizing Email Outreach
A marketer has a list of 200 names and uses the agent to find genders for personalized subject lines.
- Real-world use case 02
CRM Data Cleaning
An analyst uses the agent to fill in missing gender fields in a legacy database for better segmentation.
- Real-world use case 03
Regional Market Analysis
A growth engineer uses estimate_gender_spain to see if a name is predominantly male or female in a specific country.
Complete set · 8capabilities
The complete Genderize capability set.
These are the exact actions your AI can choose when you ask it to work with Genderize.
01—04
4 capabilities in this set.
Part of 8 available through Genderize.
- 01 Capability
Verify api connection
Checks if your connection to the Genderize API is active and working correctly. Use this to troubleshoot your setup.
- 02 Capability
Estimate gender brazil
Predicts the gender of a first name specifically for the region of Brazil. Use this for Brazilian market data.
- 03 Capability
Estimate gender spain
Predicts the gender of a first name specifically for the region of Spain. Use this to get accurate local results.
- 04 Capability
Estimate gender france
Predicts the gender of a first name specifically for the region of France. Use this for French naming patterns.
05—08
4 capabilities in this set.
Part of 8 available through Genderize.
- 05 Capability
Estimate gender uk
Predicts the gender of a first name specifically for the region of the United Kingdom. Use this for UK-specific data.
- 06 Capability
Estimate gender
Predicts the gender of a first name based on global naming data. Use this for general, non-regional queries.
- 07 Capability
Estimate gender us
Predicts the gender of a first name specifically for the region of the United States. Use this for US-based leads.
- 08 Capability
Estimate genders bulk
Estimates the gender for up to 10 names in a single request. Use this to speed up processing of large lists.
Set up in minutes
One URL. Then ask Genderize to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Genderize 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_l9O7rEA23fpsqXISUuvibgAK1aV8NWSS0VUhfd2P/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 Genderize, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Genderize for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_l9O7rEA23fpsqXISUuvibgAK1aV8NWSS0VUhfd2P/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 Genderize URL.
- Step 03
Save and start
Save the connection and enable Genderize in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"genderize": {
"url": "https://edge.vinkius.com/vk_preview_l9O7rEA23fpsqXISUuvibgAK1aV8NWSS0VUhfd2P/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 Genderize
Open Agent mode in chat and ask: "Using Genderize, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"genderize": {
"url": "https://edge.vinkius.com/vk_preview_l9O7rEA23fpsqXISUuvibgAK1aV8NWSS0VUhfd2P/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 Genderize
Ask Copilot: "Using Genderize, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"genderize": {
"url": "https://edge.vinkius.com/vk_preview_l9O7rEA23fpsqXISUuvibgAK1aV8NWSS0VUhfd2P/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 Genderize
Open Cascade and ask: "Using Genderize, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"genderize": {
"url": "https://edge.vinkius.com/vk_preview_l9O7rEA23fpsqXISUuvibgAK1aV8NWSS0VUhfd2P/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 Genderize
Ask Cline: "Using Genderize, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add genderize --transport http "https://edge.vinkius.com/vk_preview_l9O7rEA23fpsqXISUuvibgAK1aV8NWSS0VUhfd2P/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 Genderize
Ask Claude: "Using Genderize, show me...". 8 tools are ready
Where the request belongs
Work Genderize can move forward.
This is for the growth marketer who needs to personalize 5,000 emails without spending a week on manual data entry, or the data analyst who needs to clean up a messy CRM.
Growth Marketer
Personalizes outreach lists by getting gender probabilities for lead names before launching a campaign.
Data Analyst
Cleans up large datasets by identifying naming patterns and regional gender distributions.
CRM Manager
Enriches existing customer records with gender data to improve segmentation and reporting.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Predict the age of a person based on their first name using the Agify.io API.
Nationalize
Predict the nationality of a person based on their name using the Nationalize.io API.
Job Posting Inclusivity Analyzer
Scan job descriptions for gendered language, unrealistic requirements, and technical jargon.
Table Demographic Balancer
Prevent demographic clustering in seating arrangements by maintaining balanced personality traits and age groups.
Numerology Name Calculator
Calculate Expression, Soul Urge, and Personality numbers using Pythagorean numerology.
Bring your own AI
Change the model, client or framework. Keep Genderize connected.
-
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 Genderize.
The practical details behind the request, access and result.
What can Genderize do for my marketing list?
It lets your agent automatically predict genders for names on your list so you can personalize your emails and ads without manual research.
How accurate are the gender predictions?
The capability provides a probability score between 0.0 and 1.0 for every name, showing you exactly how much data supports the result.
Can I use Genderize for international names?
Yes, you can use specific capabilities to check names for countries like Brazil, France, Spain, and the UK to get more accurate local results.
Is there a limit on how many names I can check?
You can process up to 10 names at a time using the bulk capability, and the free tier allows for 100 requests every day.
Do I need an API key to start using Genderize?
You can start using the service immediately for free. You only need an API key if you want to exceed the daily limit for large-scale data tasks.
Can I check if the connection is working?
Yes, you can ask your agent to verify the API connection to ensure everything is set up correctly before you start your project.
Is an API Key required for Genderize.io?
No, you can use the service for free without an API key for up to 100 requests per day. For higher volume, you can obtain a key from genderize.io.
How accurate is the gender prediction?
The API returns a 'probability' score between 0.0 and 1.0. A score of 0.99 means the API is 99% certain of the associated gender based on its database.
Can I localise the results for a specific country?
Yes! Use the 'countryId' parameter with an ISO 3166-1 alpha-2 code (e.g., 'BR' for Brazil) to get results optimized for that specific region.
How many names can I check at once?
The 'estimate_genders_bulk' capability allows you to check up to 10 names in a single API request, which is efficient for processing small lists.
One connection away
Give your agent a direct line to Genderize.
Connect Genderize once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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