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Genderize MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Genderize through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Genderize Assistant",
            instructions=(
                "You help users interact with Genderize. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Genderize"
        )
        print(result.final_output)

asyncio.run(main())
Genderize
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About Genderize MCP Server

Connect your AI agent to the Genderize.io database to automate gender estimation through the Model Context Protocol (MCP). Genderize.io is a specialized API that provides statistical probabilities for the gender associated with any first name, backed by a database of over 114 million records. This MCP server enables you to estimate genders for single or multiple names, localized by country, directly through natural conversation.

The OpenAI Agents SDK auto-discovers all 8 tools from Genderize through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Genderize, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

Key Features

  • Gender Estimation — Predict whether a first name is associated with a male or female identity based on global data.
  • Statistical Probability — Retrieve certainty scores (0.0 to 1.0) and the total data count used for each prediction.
  • Country Localization — Localize results by providing ISO country codes (e.g., 'US', 'BR', 'GB') to improve accuracy for regional naming patterns.
  • Batch Processing — Estimate genders for up to 10 names in a single request to process lead lists faster.
  • Regional Helpers — Quickly check names for specific countries like the USA, Brazil, UK, Spain, and France using dedicated tools.
  • No-Auth Free Tier — Start using the service immediately with up to 100 free requests per day without an API key.
  • Scale with API Keys — Optionally provide an API key to access higher rate limits for large-scale data enrichment.

The Genderize MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Genderize to OpenAI Agents SDK via MCP

Follow these steps to integrate the Genderize MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 8 tools from Genderize

Why Use OpenAI Agents SDK with the Genderize MCP Server

OpenAI Agents SDK provides unique advantages when paired with Genderize through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Genderize + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Genderize MCP Server delivers measurable value.

01

Automated workflows: build agents that query Genderize, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Genderize, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Genderize tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Genderize to resolve tickets, look up records, and update statuses without human intervention

Genderize MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Genderize to OpenAI Agents SDK via MCP:

01

estimate_gender

Predict gender by name

02

estimate_gender_brazil

Predict gender (Brazil)

03

estimate_gender_france

Predict gender (France)

04

estimate_gender_spain

Predict gender (Spain)

05

estimate_gender_uk

Predict gender (UK)

06

estimate_gender_us

Predict gender (USA)

07

estimate_genders_bulk

Predict multiple names

08

verify_api_connection

io API connectivity. Check connection

Example Prompts for Genderize in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Genderize immediately.

01

"Estimate the gender for the name 'Peter'."

02

"Predict the genders for these names: ['Alice', 'Bob', 'Charlie']."

03

"What is the predicted gender for 'Sasha' in Russia (RU)?"

Troubleshooting Genderize MCP Server with OpenAI Agents SDK

Common issues when connecting Genderize to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Genderize + OpenAI Agents SDK FAQ

Common questions about integrating Genderize MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Genderize to OpenAI Agents SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.