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Namsor MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Parse Full Name, Predict Country, Predict Diaspora, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Namsor 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 for Mastra AI

The Namsor MCP Server for Mastra AI is a standout in the Marketing Automation category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
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: {
      "namsor": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Namsor Agent",
    instructions:
      "You help users interact with Namsor " +
      "using 6 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Namsor?"
  );
  console.log(result.text);
}

main();
Namsor
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* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Namsor tool infrastructure. Connect 6 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.

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 Mastra AI 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 Mastra AI

When Mastra AI 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

Parse full name on Namsor

Parse a full name string

predict

Predict country on Namsor

Predict country residency from name

predict

Predict diaspora on Namsor

Predict diaspora from name

predict

Predict ethnicity on Namsor

g., Hispanic, Asian, White). Predict US ethnicity from name

predict

Predict gender on Namsor

Predict gender from name

predict

Predict origin on Namsor

Predict country of origin from name

Connect Namsor to Mastra AI via MCP

Follow these steps to wire Namsor into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 6 tools from Namsor via MCP

Why Use Mastra AI with the Namsor MCP Server

Mastra AI provides unique advantages when paired with Namsor through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Namsor without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Namsor tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Namsor + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Namsor MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Namsor, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Namsor as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Namsor on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Namsor tools alongside other MCP servers

Example Prompts for Namsor in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Namsor immediately.

01

"Predict the gender for the name 'Jean Dupont'."

02

"What is the likely country of origin for the name Yuki Tanaka?"

03

"Parse the full name Dr. Maria Elena Rodriguez-Garcia into its components."

Troubleshooting Namsor MCP Server with Mastra AI

Common issues when connecting Namsor to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Namsor + Mastra AI FAQ

Common questions about integrating Namsor MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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