MCP For Claude Marketplace
Agify

Agify MCP Connector for Claude

A+

Predict the age of a person based on their first name using the Agify.io API.

2 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your AI agent to Agify.io to instantly estimate the age of individuals or groups based on their first names. This server provides powerful demographic intelligence for data enrichment and user profiling.

What you can do

  • Individual Prediction — Estimate the age of a single person by providing their first name.
  • Country Scoping — Improve accuracy by narrowing the prediction to a specific country using ISO codes.
  • Batch Processing — Predict ages for up to 10 names in a single request for efficient data analysis.
  • Probability Metrics — Receive not just an age, but the data count used to generate the prediction.

How it works

  1. Subscribe to this server
  2. Enter your Agify API Key (optional for limited testing)
  3. Start predicting demographics from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Data Analysts — Enrich user databases with estimated demographic information.
  • Marketing Teams — Segment leads and audiences based on name-derived age estimates.
  • Developers — Build smarter onboarding flows or personalization engines without asking for birth dates.
demographicsage-predictiondata-enrichmentidentity-intelligencename-analysis

2 tools expose this connector's capabilities to your AI agent.

predict_age_batch

Predict the ages of multiple people based on their first names

predict_age

Optionally scope by country. Predict the age of a person based on their first name

See how to talk to your AI agent using Agify.

Predict the age for the name 'Michael'.

Based on the Agify database, the estimated age for 'Michael' is 44 years old (based on 233,482 data points).

What is the estimated age for 'Isabella' in Italy (IT)?

In Italy, the name 'Isabella' has an estimated age of 52 years.

Predict the ages for these names: 'John', 'Emma', and 'Liam'.

I've processed the batch: 'John' is estimated at 51, 'Emma' at 34, and 'Liam' at 21.

Yes! Use the `predict_age_batch` tool. You can provide an array of up to 10 names in a single request to get multiple age estimations efficiently.

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