Namsor MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Parse Full Name, Predict Country, Predict Diaspora, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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();
* 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 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 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.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Namsor MCP Server
Mastra AI provides unique advantages when paired with Namsor through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Namsor 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 Namsor 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
Namsor + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Namsor MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Namsor, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Namsor as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Namsor on a cron and store results in your database automatically
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.
"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 Mastra AI
Common issues when connecting Namsor to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpNamsor + Mastra AI FAQ
Common questions about integrating Namsor 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?
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