How to Use the Namsor MCP in Cursor

Q: How do I add Namsor to my Cursor configuration?

Create a .cursor/mcp.json file in your project root and add the Namsor server under the mcpServers key. Once saved, enable Agent mode in Cursor chat to let the AI start calling name prediction tools.

Q: Which Namsor endpoints are exposed to the editor?

The server exposes six tools: parsefullname, predictcountry, predictdiaspora, predictethnicity, predictgender, and predictorigin. You can call any of these directly from the Cursor chat window.

Feed live demographic data from Namsor directly into your Cursor code editor while writing your marketing pipelines.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Namsor MCP to Cursor

Create your Vinkius account to connect Namsor to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Namsor with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run live name analysis inside the Cursor editor

The `predict_origin` tool lets your Cursor agent analyze user lists and inject cultural origin data directly into your active files. Instead of writing mock data, Cursor fetches real Namsor geographic predictions while you write code. This workflow speeds up Namsor API integration testing inside Cursor. You see exactly how the Cursor editor maps the JSON response from `predict_country` to your database schema.

Build demographic filters with this MCP Server

The `predict_ethnicity` tool classifies US demographic groups inside Cursor to help you build compliance and diversity tracking features. Your Cursor editor reads the output of this Namsor tool to generate accurate validation logic on the spot. Combining this with `predict_gender` allows your Cursor coding agent to scaffold entire user-segmentation schemas. You get functional, data-backed code because your Cursor editor has direct access to the live Namsor API.

Parse messy user inputs during active development

The `parse_full_name` tool cleans up unformatted name strings so your Cursor database migration scripts stay tidy. Cursor uses this Namsor tool to test your input validation endpoints with realistic, parsed name objects. You can also test global user scenarios in Cursor using `predict_diaspora` to see how your app handles complex cultural contexts. It takes the guesswork out of database seeding when using Namsor inside your editor.

Setup guide

Set up Namsor MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Namsor MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Namsor transactions." If the MCP tools are loaded correctly, Cursor will call the Namsor tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "namsor-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Namsor. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Namsor now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Namsor MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and add the Namsor server under the `mcpServers` key. Once saved, enable Agent mode in Cursor chat to let the AI start calling name prediction tools.

Yes, Cursor can run the Namsor MCP Server locally via stdio or connect to a remote URL hosted on Vinkius. This flexibility lets you query name origins and genders during both local development and team-wide testing.

Yes. You can instruct the Cursor agent to write a seeding script, and the agent will call the `parse_full_name` and `predict_country` tools to generate highly realistic, demographic-rich test data for your database.

The server exposes six tools: `parse_full_name`, `predict_country`, `predict_diaspora`, `predict_ethnicity`, `predict_gender`, and `predict_origin`. You can call any of these directly from the Cursor chat window.

All parsed names and predicted demographics are transmitted over encrypted connections directly to Namsor. Vinkius runs this MCP in an isolated, ephemeral sandbox, ensuring your customer data is never cached or exposed to third parties.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript