Namsor MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Parse Full Name, Predict Country, Predict Diaspora, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Namsor through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Namsor MCP Server for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Namsor, 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 Namsor MCP Server
Connect your Namsor account to any AI agent and simplify your name analytics and demographic enrichment through natural conversation.
The Vercel AI SDK gives every Namsor tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Gender Prediction — Analyze first and last names to determine gender with high accuracy and probability metrics
- Origin & Residency — Predict a name's country of origin and likely current country of residency
- Ethnicity Tracking — Query US-specific ethnicity models (Hispanic, Asian, Black, White) for localized demographic insights
- Name Parsing — Break down complex full name strings into structured components (prefix, first, last, suffix)
- Diaspora Insights — Predict the diaspora group or ethnic cluster for a name within a specific country context
The Namsor MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Namsor tools available for Vercel AI SDK
When Vercel AI SDK connects to Namsor through Vinkius, your AI agent gets direct access to every tool listed below — spanning demographic-analysis, gender-prediction, ethnicity-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Parse full name on Namsor
Parse a full name string
Predict country on Namsor
Predict country residency from name
Predict diaspora on Namsor
Predict diaspora from name
Predict ethnicity on Namsor
g., Hispanic, Asian, White). Predict US ethnicity from name
Predict gender on Namsor
Predict gender from name
Predict origin on Namsor
Predict country of origin from name
Connect Namsor to Vercel AI SDK via MCP
Follow these steps to wire Namsor into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Namsor MCP Server
Vercel AI SDK provides unique advantages when paired with Namsor 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 Namsor integration everywhere
Built-in streaming UI primitives let you display Namsor 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
Namsor + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Namsor MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Namsor in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Namsor tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Namsor capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Namsor through natural language queries
Example Prompts for Namsor in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Namsor immediately.
"Predict the gender for the name 'Jean Dupont'."
"What is the likely country of origin for the name Yuki Tanaka?"
"Parse the full name Dr. Maria Elena Rodriguez-Garcia into its components."
Troubleshooting Namsor MCP Server with Vercel AI SDK
Common issues when connecting Namsor to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpNamsor + Vercel AI SDK FAQ
Common questions about integrating Namsor 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.Explore More MCP Servers
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