# Agify MCP for AI Agents AI Agent Connect > Agify lets your AI agent estimate the age of individuals or groups just by looking at their first names. It connects to the Agify.io database to provide demographic insights for data enrichment, lead scoring, and user profiling. You can predict ages for single names or process large batches at once, with the option to narrow down results by specific countries for better accuracy. ## Overview - **Category:** developer-tools - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_oLQN8lIhp0RLMAwjx6TncjEaxQhdcYSkWZZL35yz/ai-agent-connect - **Tags:** demographics, age-prediction, data-enrichment, identity-intelligence, name-analysis ## Description Imagine you are looking at a massive list of leads or a new set of user registrations. You need to know who you are talking to, but your data is missing birth dates or profile details. Instead of manually digging through records or making assumptions, you can use this Connector to get a quick demographic snapshot. It handles the heavy lifting of querying the database so your agent can provide immediate context. Whether you are trying to segment a marketing list by age group or just need to know if a name leans toward a certain demographic, this tool gives you those numbers in seconds. It is a huge time-saver for anyone who deals with large datasets where names are the only identifier. By adding this to your stack through the Vinkius catalog, you get a reliable way to turn plain text into actionable data points. You do not have to worry about the underlying technical details or data counts; your agent just takes the name, checks the database, and hands you the estimated age. It is about making your data more useful without adding extra friction to your workflow. This helps you build smarter onboarding flows or personalization engines without ever having to ask your users for sensitive personal information like their actual birthdays. You get the insights you need to make better decisions about your audience while keeping your data collection process clean and fast. ## Tools ### 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. ### 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. ## Prompt Examples **Prompt:** ``` Predict the age for the name 'Michael'. ``` **Response:** ``` Based on the Agify database, the estimated age for **Michael** is **44 years old** (based on 233,482 data points). ``` **Prompt:** ``` What is the estimated age for 'Isabella' in Italy (IT)? ``` **Response:** ``` In Italy, the name **Isabella** has an estimated age of **52 years**. ``` **Prompt:** ``` Predict the ages for these names: 'John', 'Emma', and 'Liam'. ``` **Response:** ``` I've processed the batch: * **John**: estimated at 51 * **Emma**: estimated at 34 * **Liam**: estimated at 21 ``` ## Capabilities ### Estimate individual ages Get an age prediction for any person based on their first name. ### Process name lists in bulk Predict ages for multiple names in a single request to save time. ### Filter results by country Narrow down age predictions to specific regions using ISO codes. ### Get data point counts See the amount of data used to generate each prediction for better context. ### Enrich user profiles Add demographic depth to your existing user records automatically. ### Segment marketing leads Bucket your leads into age groups for more targeted outreach. ## Use Cases ### Marketing Lead Scoring A marketing team has 500 new leads with only names. They ask the agent to predict ages for the first 100 to see which ones fit their target audience. ### User Profile Enrichment A developer wants to personalize a dashboard. They ask the agent to check the ages of active users to decide which content to show first. ### Bulk Data Cleaning An analyst has a messy spreadsheet. They use the agent to fill in a Predicted Age column for a list of names using the batch tool. ### Regional Market Research A researcher wants to know the vibe of a name in a specific region. They ask for the age of Isabella specifically in Italy. ## Benefits - Stop guessing demographics by using `predict_age` to get data-backed age estimates for any name. This turns raw text into useful data points for your user profiles. - Save hours of manual research by using `predict_age_batch` to handle multiple names in a single request. It makes processing large lists of names much faster. - Improve your data accuracy by scoping predictions to specific countries with the `predict_age` tool. This ensures the age estimates match the local demographic trends. - Get a better sense of data reliability by seeing the actual count of data points used for each prediction. This helps you understand the confidence of each estimate. - Reduce friction in user signups by getting demographic context without asking for sensitive personal information. You can build better onboarding flows with less friction. - Build more effective marketing segments by turning raw name lists into structured age-based categories. Use these insights to target your ads more effectively. ## How It Works The bottom line is you turn a list of first names into a demographic map without manual research. 1. Sign up for an Agify.io account and get your API key. 2. Connect this Connector to your AI client and enter your key. 3. Ask your agent to predict ages for any name or list of names. ## Frequently Asked Questions **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` tool. 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` tool, 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.