How to Use the Chi-Square Test Engine MCP in VS Code Copilot

Q: How do I add the Chi-Square Test Engine to VS Code Copilot for my whole team?

The best way is to create a .vscode/mcp.json file in your project's root and commit it to Git. This ensures every developer who clones the repo automatically gets the tool configured in their Copilot agent.

Give your whole team a reliable Chi-Square test function inside VS Code Copilot, configured once for everyone.

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Connect Chi-Square Test Engine MCP to VS Code Copilot

Create your Vinkius account to connect Chi-Square Test 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 Chi-Square Test Engine with VS Code Copilot

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Configure Once, Deploy to Your Team

Commit a `.vscode/mcp.json` file with this server's configuration to your repository. That's it. Now every developer on the team gets the `calculate_chi_square` tool in their Copilot agent automatically. This solves the 'works on my machine' problem for AI tools. It creates a standard, shared toolset for your entire engineering organization, ensuring everyone's agent has the same capabilities.

Enterprise-Grade Statistical Tools

This isn't a random script from the internet. It's a managed MCP Server that provides a standard, auditable way for your team's agents to perform chi-square analysis. The results are CPU-guaranteed, not a guess from the LLM. Because it's a Vinkius-hosted server, it fits right into your existing security and compliance framework. You get reliable math without the risk.

Analyze Data in Your Workspace

Use Copilot's agent mode to run analysis on data files right inside your project. Just point it to a file: 'Run a chi-square test on the contingency table in `data/survey.json`'. The agent reads the file, calls the `calculate_chi_square` tool, and shows the results in the chat panel. You can check for statistical significance without ever leaving VS Code. It brings the analysis right next to the code that depends on it.

Setup guide

Set up Chi-Square Test 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 Chi-Square Test 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 Chi-Square Test Engine tools listed. Try asking: "List my recent Chi-Square Test Engine transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "chi-square-test-engine-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Chi-Square Test Engine MCP in VS Code Copilot

The best way is to create a `.vscode/mcp.json` file in your project's root and commit it to Git. This ensures every developer who clones the repo automatically gets the tool configured in their Copilot agent.

Yes. This MCP Server is compatible with all tiers of GitHub Copilot that support agent mode in VS Code, including the Enterprise plan. The `.vscode/mcp.json` configuration works seamlessly.

This tool lets you perform the test conversationally without writing any code. You can quickly check a hypothesis without breaking your workflow to write, run, and debug a script. It's for fast answers, not for building a production pipeline.

The tool itself just needs a contingency table (a 2D array of numbers). How you get that data is up to you and the agent. You can ask Copilot to parse it from a JSON, CSV, or even a block of text you paste into the chat.

Your contingency table data is processed within an isolated Vinkius sandbox, and all data in transit is encrypted. Vinkius is SOC 2 compliant, so using this MCP Server meets typical enterprise security standards for handling analytical data.

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