Agify Connector for AI agents.
2 live capabilities
Get instant demographic age predictions from first names to enrich your user data.
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Why people use Agify
Agify for Demographic Data Enrichment
This Connector changes that by letting your agent do the heavy lifting. You just provide the names, and the capability pulls the estimated ages from the Agify.io database instantly. You get a clean, structured demographic map without the manual effort.
What Vinkius changes
You turn a list of first names into a demographic map 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
Marketing Lead Scoring
A marketing team has 500 new leads with only names.
- Real-world use case 02
User Profile Enrichment
A developer wants to personalize a dashboard.
- Real-world use case 03
Bulk Data Cleaning
An analyst has a messy spreadsheet.
Complete set · 2capabilities
The complete Agify capability set.
These are the exact actions your AI can choose when you ask it to work with Agify.
01—02
2 capabilities in this set.
Part of 2 available through Agify.
- 01 Capability
Predict age batch
Predict ages for up to 10 names at the same time. This is perfect for quickly processing small lists of names in one go.
- 02 Capability
Predict age
Predict the age of a person based on their first name. You can also specify a country code to make the result more accurate for different regions.
Set up in minutes
One URL. Then ask Agify to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Agify 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_oLQN8lIhp0RLMAwjx6TncjEaxQhdcYSkWZZL35yz/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 Agify, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Agify for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_oLQN8lIhp0RLMAwjx6TncjEaxQhdcYSkWZZL35yz/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 Agify URL.
- Step 03
Save and start
Save the connection and enable Agify in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"agify": {
"url": "https://edge.vinkius.com/vk_preview_oLQN8lIhp0RLMAwjx6TncjEaxQhdcYSkWZZL35yz/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 Agify
Open Agent mode in chat and ask: "Using Agify, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"agify": {
"url": "https://edge.vinkius.com/vk_preview_oLQN8lIhp0RLMAwjx6TncjEaxQhdcYSkWZZL35yz/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 Agify
Ask Copilot: "Using Agify, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"agify": {
"url": "https://edge.vinkius.com/vk_preview_oLQN8lIhp0RLMAwjx6TncjEaxQhdcYSkWZZL35yz/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 Agify
Open Cascade and ask: "Using Agify, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"agify": {
"url": "https://edge.vinkius.com/vk_preview_oLQN8lIhp0RLMAwjx6TncjEaxQhdcYSkWZZL35yz/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 Agify
Ask Cline: "Using Agify, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add agify --transport http "https://edge.vinkius.com/vk_preview_oLQN8lIhp0RLMAwjx6TncjEaxQhdcYSkWZZL35yz/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 Agify
Ask Claude: "Using Agify, show me...". 2 tools are ready
Where the request belongs
Work Agify can move forward.
This is for data professionals and marketers who need to understand their audience's demographics without asking for sensitive personal data like birth dates.
Data Analyst
Cleaning up large CSV files and filling in missing demographic gaps for better reporting.
Marketing Manager
Segmenting a list of new leads into age-based buckets for personalized email campaigns.
Product Developer
Building a personalization engine that adjusts UI elements based on user demographics.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Bring your own AI
Change the model, client or framework. Keep Agify connected.
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ChatGPT -
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VS Code -
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Before you connect
Questions about Agify.
The practical details behind the request, access and result.
Can Agify MCP predict the age of people in my database?
Yes, it provides estimated ages based on first names, which helps you fill in gaps in your user profiles without needing birth dates.
How accurate are the age predictions with Agify MCP?
The accuracy improves when you provide a country code, as it narrows the search to a specific region's demographic data.
Can I process a lot of names at once using Agify MCP?
You can predict the ages for up to 10 names in a single request, making it much faster than doing them one by one.
Does Agify MCP require me to provide birth dates?
No, it only needs first names to provide a demographic estimate based on existing data patterns.
Is Agify MCP good for marketing research?
It's a great way to get a high-level view of your audience's demographics without asking for sensitive personal information.
How does Agify MCP handle different countries?
You can specify ISO country codes to get age estimates that are more relevant to a specific geographic location.
Can I predict the age of multiple people at once?
Yes! Use the predict_age_batch capability. You can provide an array of up to 10 names in a single request to get multiple age estimations efficiently.
How can I make the age prediction more accurate for a specific region?
When using the predict_age capability, you can provide an optional country_id (ISO 3166-1 alpha-2 code). This scopes the data to that specific country, providing a more localized age estimate.
Is an API key required to use this server?
An API key is optional for low-volume testing, but recommended for production use or higher rate limits. You can obtain one at Agify.io.
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