How to Use the Genderize MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK handle bulk requests with Genderize?

Yes. Your agent uses estimategendersbulk to pass an array of names. This reduces network overhead by grouping multiple lookups into one call.

Q: How do regional tools work in the Genderize OpenAI Agents SDK setup?

The agent calls specific tools like estimategenderus or estimategenderuk depending on user location. This narrows down the statistical pool for more accurate local predictions.

Q: What happens if the API connection drops?

The agent uses verifyapiconnection to check the service status. If the endpoint is down, the OpenAI tracing dashboard logs the failure immediately.

Predict gender by first name with the Genderize MCP Server directly inside your OpenAI Agents SDK production workflows.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Genderize MCP to OpenAI Agents SDK

Create your Vinkius account to connect Genderize 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.

GDPR Free for Subscribers

Setup Genderize with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run single name predictions via OpenAI Agents SDK

The `estimate_gender` tool queries the Genderize API to return a predicted gender, probability score, and count for a single first name. Your OpenAI Agents SDK workflow passes the name straight to this endpoint, getting back raw JSON to route the agent's logic. If your agent handles user onboarding, it uses this first name tool before running personalized logic. The SDK's built-in guardrails validate the returned Genderize API payload before your agent executes any downstream tasks.

Batch analyze names using this MCP Server

Bulk operations run through `estimate_genders_bulk` to process lists of first names in a single network round-trip. Your OpenAI Agents SDK setup schedules these lookups during database syncs to prevent API rate-limiting issues. Because the OpenAI Agents SDK supports agent-to-agent handoffs, a dedicated triage agent can run this MCP tool. It isolates the Genderize prediction logic from your main conversational agents.

Target localized regions with country-specific tools

Regional queries use specialized tools like `estimate_gender_us`, `estimate_gender_uk`, `estimate_gender_brazil`, `estimate_gender_spain`, and `estimate_gender_france` to weight predictions against local naming distributions. Your OpenAI Agents SDK configuration routes names to this MCP Server based on user metadata to ensure local accuracy. The agent detects the user's country code, selects the corresponding regional Genderize tool, and gets localized probability data. This avoids generic global averages that often skew name classifications within your OpenAI Agents SDK pipelines.

Setup guide

Set up Genderize 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 Genderize tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Genderize 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="Genderize Agent",
            instructions="You have access to Genderize tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Genderize. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Genderize now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Genderize MCP in OpenAI Agents SDK

Install the SDK and pass the server URL to your HTTP configuration. Your agent discovers `estimate_gender` and the regional tools during startup.

Yes. Your agent uses `estimate_genders_bulk` to pass an array of names. This reduces network overhead by grouping multiple lookups into one call.

The agent calls specific tools like `estimate_gender_us` or `estimate_gender_uk` depending on user location. This narrows down the statistical pool for more accurate local predictions.

The agent uses `verify_api_connection` to check the service status. If the endpoint is down, the OpenAI tracing dashboard logs the failure immediately.

Vinkius hosts the server in an ephemeral sandbox that processes first names and immediately discards them. No name data is logged or stored on our servers after the API call completes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript