How to Use the Feature Scaler Engine MCP in VS Code Copilot

Q: How do we roll out Feature Scaler Engine across our team in VS Code Copilot?

Commit a .vscode/mcp.json file to your Git repository with the MCP Server configuration. Once your team pulls the changes, VS Code Copilot will automatically connect to the scalefeatures tool for every developer.

Q: Can VS Code Copilot run Feature Scaler Engine offline?

Yes. The scalefeatures tool runs entirely on your local machine, meaning VS Code Copilot can scale your numeric tables even when you are disconnected from the internet.

Q: Does Feature Scaler Engine support Z-score scaling for large datasets in VS Code Copilot?

Yes. The scalefeatures tool is built to handle local numeric columns efficiently, allowing VS Code Copilot to process large arrays without running out of memory.

Q: How is our corporate data secured when using Feature Scaler Engine?

The server operates under a zero-trust model. The scalefeatures tool runs inside an ephemeral local sandbox, meaning your proprietary numeric datasets and matrix files never leave your local machine or your team's secure network.

Standardize numeric datasets with team-wide precision using VS Code Copilot.

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Connect Feature Scaler Engine MCP to VS Code Copilot

Create your Vinkius account to connect Feature Scaler Engine 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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Setup Feature Scaler Engine with VS Code Copilot

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Team-Wide Data Scaling with VS Code Copilot

Keep your entire engineering team on the same page when prepping training data. This MCP Server configures globally or per-repo, giving every developer on your team access to identical scaling math. When your team uses VS Code Copilot, the agent invokes the `scale_features` tool to normalize shared datasets. Everyone gets the exact same Z-score outputs, preventing mismatched feature ranges across different dev environments.

Enterprise-Grade Math inside Copilot Chat

Stop letting developers write custom, unchecked scaling scripts that break in production. By integrating this MCP Server into VS Code Copilot, your team uses a single, verified implementation for all MinMax operations. The `scale_features` tool runs locally inside a secure, SOC 2 compliant environment. Your developers get clean, standardized inputs without risking raw data exposure.

Local Verification of Model Input Ranges

Verify your data distributions before committing code. Ask VS Code Copilot to run the `scale_features` tool on your input columns to check for zero-variance anomalies before they hit your pipeline. The tool instantly returns the mathematical mean and standard deviation of your columns, giving your team immediate feedback on whether the data is ready for training.

Setup guide

Set up Feature Scaler Engine 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

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

Add the Feature Scaler Engine 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

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

Verify the connection

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

.vscode/mcp.json

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

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Common questions about Feature Scaler Engine MCP in VS Code Copilot

Commit a `.vscode/mcp.json` file to your Git repository with the MCP Server configuration. Once your team pulls the changes, VS Code Copilot will automatically connect to the `scale_features` tool for every developer.

Yes. The `scale_features` tool runs entirely on your local machine, meaning VS Code Copilot can scale your numeric tables even when you are disconnected from the internet.

Yes. The `scale_features` tool is built to handle local numeric columns efficiently, allowing VS Code Copilot to process large arrays without running out of memory.

You simply tell the Copilot agent which method you want. It passes your choice directly to the `scale_features` tool, which executes the requested mathematical formula on your dataset.

The server operates under a zero-trust model. The `scale_features` tool runs inside an ephemeral local sandbox, meaning your proprietary numeric datasets and matrix files never leave your local machine or your team's secure network.

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