Genderize MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query Genderize, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Genderize, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Genderize tools and transform it with OpenAI models in a single async loop
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:
estimate_gender
Predict gender by name
estimate_gender_brazil
Predict gender (Brazil)
estimate_gender_france
Predict gender (France)
estimate_gender_spain
Predict gender (Spain)
estimate_gender_uk
Predict gender (UK)
estimate_gender_us
Predict gender (USA)
estimate_genders_bulk
Predict multiple names
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.
"Estimate the gender for the name 'Peter'."
"Predict the genders for these names: ['Alice', 'Bob', 'Charlie']."
"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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Genderize + OpenAI Agents SDK FAQ
Common questions about integrating Genderize MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Genderize with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
