Integration

Agify.io integration

Agify.io predicts the age of a person from their name: send a first name or a full name and get back an estimated age in years and the number of name records behind the prediction, optionally scoped to one country's data. Useful to enrich contact lists, segment audiences by likely age, or analyze the age profile of a dataset. Only the single-name lookup is exposed; the batch form that takes repeated name[] parameters is not. Agify is run by Demografix, and the same API key also works on Genderize and Nationalize. Authentication is an API key from the Agify account dashboard, sent as the apikey query parameter; usage is counted per name against the monthly quota of the plan (the free tier includes 1,000 names per month, and a request over the limit is refused with HTTP 429).

Connect Agify.io How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Agify.io.Built from the 1 Agify.io tool below, on the connection you add once.

What you can do with Agify.io

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

predict_agePredict ageGETPredicts the age of a name: returns age in years (null when unknown) and count (records behind it). Pass country_id to use one country's data. A full name predicts better.

Use Agify.io from Claude Code, Cursor or Codex

Connect Agify.io in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Agify.io operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Agify.io

Create your workspace
Sign up free. Nothing to install.
Connect Agify.io once
Add your Agify.io connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.