How to Use the Agify MCP in OpenAI Agents SDK

Q: How do I connect the Agify MCP Server to the OpenAI Agents SDK?

Install the pip package. Initialize MCPServerStreamableHttp with your Vinkius URL and pass it to the servers list in your Agent constructor.

Build production-ready demographic agents using OpenAI Agents SDK and the Agify API.

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Connect Agify MCP to OpenAI Agents SDK

Create your Vinkius account to connect Agify to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Agify with OpenAI Agents SDK

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Predict ages directly in your agent

The `predict_age` tool feeds demographic estimates straight into your OpenAI agent. You pass a first name, and the model receives the statistical age tied to that string. Adding a country code narrows the probability curve. Your agent handles the reasoning while the MCP Server handles the external API call. Built-in guardrails in the SDK ensure the agent only requests valid name strings before executing the tool.

Process user lists with Agify MCP Server

The `predict_age_batch` tool evaluates multiple names in a single network request. Passing an array of user names returns a matching array of age predictions. This prevents the agent from stalling out on rate limits during bulk data enrichment. Tracing through the dashboard shows exactly how the agent mapped the batch results back to your original dataset. Handoffs let a specialized demographic agent process the batch and pass the enriched data to a downstream marketing agent.

Zero-config tool discovery

Connecting the endpoint requires passing `MCPServerStreamableHttp` to your Agent constructor. The SDK automatically discovers the prediction tools and registers their schemas. Setting `cacheToolsList=True` drops the initialization latency on cold starts. We host the server on Vinkius, meaning you just need the URL and your auth token. The agent system handles the rest, keeping your production environment focused on logic instead of API boilerplate.

Setup guide

Set up Agify MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Agify tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Agify tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Agify tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Agify Agent",
            instructions="You have access to Agify tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

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Common questions about Agify MCP in OpenAI Agents SDK

Install the pip package. Initialize `MCPServerStreamableHttp` with your Vinkius URL and pass it to the servers list in your Agent constructor.

Yes. The batch tool accepts arrays of names. Your agent will format the list and parse the bulk response automatically.

You can pass a country code to the single prediction tool. The agent uses this parameter to filter demographic statistics for specific regions.

Production systems need guardrails. The SDK validates the agent's intent before firing off requests to the API, preventing malformed data errors.

The server only transmits first names and optional country codes. Vinkius runs the connection in an ephemeral V8 Isolate sandbox, discarding the payload immediately after the API returns the age prediction.

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