Genderize MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Genderize through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Genderize, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Genderize tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Genderize MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Genderize and passes them to the LLM
Why Use Vercel AI SDK with the Genderize MCP Server
Vercel AI SDK provides unique advantages when paired with Genderize through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Genderize integration everywhere
Built-in streaming UI primitives let you display Genderize tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Genderize + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Genderize MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Genderize in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Genderize tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Genderize capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Genderize through natural language queries
Genderize MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Genderize to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Genderize to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGenderize + Vercel AI SDK FAQ
Common questions about integrating Genderize MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.