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How to Use the Namsor MCP in VS Code Copilot

Share Namsor name analytics across your entire team using VS Code Copilot and a single configuration file.

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VS Code Copilot

Connect Namsor MCP to VS Code Copilot

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

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Standardize team name parsing in VS Code Copilot

The `parse_full_name` tool splits unstructured name strings into clean JSON objects directly inside your VS Code Copilot workspace. By committing a configuration file, your entire team gets identical Namsor name-parsing capabilities in VS Code Copilot. This setup ensures everyone on your VS Code Copilot team uses the same Namsor parsing logic. It prevents database mismatches and keeps your VS Code Copilot onboarding pipelines highly consistent.

Analyze global demographics with an MCP Server

The `predict_diaspora` tool identifies migrant communities based on name analysis inside your VS Code Copilot editor. Your VS Code Copilot agent uses this Namsor tool to write tailored localization code based on actual demographic patterns. You can also query `predict_origin` in VS Code Copilot to determine country of origin without storing intrusive location history. It helps your VS Code Copilot team build privacy-first features using Namsor demographics.

Automate diversity reporting pipelines in your editor

The `predict_ethnicity` tool helps your VS Code Copilot team build automated compliance reports. VS Code Copilot reads these US-focused Namsor predictions to help you write and test reporting dashboard components. Adding `predict_gender` and `predict_country` to your VS Code Copilot prompts lets you test complex demographic logic without leaving your editor. Your team writes better code because VS Code Copilot is working with real-world Namsor name analytics.

Setup guide

Set up Namsor MCP in VS Code Copilot

Prerequisites

  • VS Code 1.99 or later with GitHub Copilot extension
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.

  2. 2

    Add the Namsor MCP

    Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Switch to Agent mode

    Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.

  4. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the Namsor tools listed. Try asking: "List my recent Namsor transactions" and Copilot will invoke them automatically.

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

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.

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Common questions about Namsor MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root, configure the Namsor server, and commit it to Git. Every team member with VS Code Copilot will instantly have access to the name analytics tools.
No, you can connect VS Code Copilot to a hosted Namsor MCP Server on Vinkius. This avoids local setup headaches and lets your team run name predictions immediately via the cloud.
Yes, you can ask VS Code Copilot to write validation logic using the `parse_full_name` tool. The agent will call the tool to verify how different international naming conventions are handled by your code.
It provides six tools: `parse_full_name`, `predict_country`, `predict_diaspora`, `predict_ethnicity`, `predict_gender`, and `predict_origin`. These let your agent analyze names from multiple demographic angles.
Your input names and resulting gender or origin predictions are securely routed through Vinkius's enterprise-grade, SOC 2 compliant MCP environment. Data is processed in memory and never written to disk, keeping your customer records completely private.

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