Use Agify with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Enrich your user data with estimated age profiles.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 2 capabilities
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
Predict age
Optionally scope by country. Predict the age of a person based on their first name
- 02
Predict age batch
Predict the ages of multiple people based on their first names
Observed, not estimated
899ms average. Fast in production.
Agify is checked daily against the live service.
- Fastest day
- 717ms
- Slowest day
- 1046ms
- 14-day trend
- Slowing+16%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 2 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Agify, so you can see the experience inside your AI.
It does not authenticate your account with Agify. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Agify Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_oLQN8lIhp0RLMAwjx6TncjEaxQhdcYSkWZZL35yz/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Agify capabilities are ready to use.
{
"mcpServers": {
"agify-mcp": {
"url": "https://edge.vinkius.com/vk_preview_oLQN8lIhp0RLMAwjx6TncjEaxQhdcYSkWZZL35yz/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Who it's for
Built for the work Agify owners hand off.
This MCP is essential for anyone working with user data who needs demographic context without collecting sensitive PII. Data Analysts use it to enrich user databases, Marketing Teams use it for lead segmentation, and Developers use it to build smarter, more personalized applications.
- 01
Data Analysts
Enrich user databases with estimated demographic information to run deeper reports.
- 02
Marketing Teams
Segment leads and audiences based on name-derived age estimates for targeted campaigns.
- 03
Developers
Build smarter onboarding flows or personalization engines when birth dates aren't available.
FAQ
Questions Agify owners ask.
- 01
Does this MCP require an API key?
Yes, you must subscribe to the MCP and enter your Agify API Key. This key is necessary for making predictions, though limited testing may be available without it.
- 02
What kind of data does Agify use?
The MCP estimates age based on the first name provided, using the Agify database. It provides the data count used for the prediction, which helps you gauge the estimate's reliability.
- 03
Can I predict ages for multiple names?
Yes, you can use the predict_age_batch capability to process up to ten names in a single request. This is much more efficient than running predictions one by one.
- 04
How do I make the age prediction more accurate?
You improve accuracy by using the country scoping feature. You can narrow the prediction down by providing the country's ISO code alongside the name.
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