Genderize MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Genderize through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"genderize": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Genderize Agent",
instructions:
"You help users interact with Genderize " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Genderize?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Genderize tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Genderize MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Genderize via MCP
Why Use Mastra AI with the Genderize MCP Server
Mastra AI provides unique advantages when paired with Genderize through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Genderize without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Genderize tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Genderize + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Genderize MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Genderize, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Genderize as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Genderize on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Genderize tools alongside other MCP servers
Genderize MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Genderize to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Genderize to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGenderize + Mastra AI FAQ
Common questions about integrating Genderize MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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.
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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 Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.