How to Use the Chi-Square Test Engine MCP in Claude

Q: How do I set up the Chi-Square Test Engine with Claude Desktop?

For local use, add the server to your claudedesktopconfig.json file under the mcpServers key. If you're using the remote Vinkius endpoint, just paste the URL into the Custom Connectors section in the claude.ai web settings.

Run exact Chi-Square tests on local data files right from Claude Desktop, without waiting for a data scientist.

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Connect Chi-Square Test Engine MCP to Claude Desktop

Create your Vinkius account to connect Chi-Square Test Engine to Claude Desktop 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 Claude Desktop

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Analyze Local Data Instantly

The `calculate_chi_square` tool runs directly on your machine through the Claude Desktop app. This gives your agent a direct line to your local files, something the web version can't do. You can point it at a CSV you just downloaded, or a contingency table from a database on localhost, and get results instantly inside your chat. There's no need to upload files or expose local servers to the internet. Just tell Claude what you want to test, and it uses the tool to perform the calculation right there. It’s the fastest way to go from a local dataset to a statistical insight.

Get Correct Stats, Not LLM Guesses

Stop asking your agent to do math it wasn't built for. The `calculate_chi_square` tool doesn't guess or approximate; it performs a deterministic calculation on the contingency table you provide. You get the exact chi-squared statistic and p-value every single time. This isn't a prompt-based estimation. It's a real statistical function, wrapped in an MCP Server, that delivers CPU-guaranteed results. You can finally trust the numbers your agent gives you for categorical analysis.

Talk to Your Data in Plain English

Once connected, you can analyze contingency tables just by describing what you need. Ask Claude to 'run a chi-square test on this data to see if there's a relationship between user segment and feature adoption'. Your agent handles the boring part of formatting the data for the tool. The tool runs the numbers, then Claude explains the results back to you in simple terms. It turns a tedious statistical task into a quick conversation.

Setup guide

Set up Chi-Square Test Engine MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Chi-Square Test Engine MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Chi-Square Test Engine MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under chi-square-test-engine-mcp.

json

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

Get your connection token →

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Common questions about Chi-Square Test Engine MCP in Claude Desktop

For local use, add the server to your `claude_desktop_config.json` file under the `mcpServers` key. If you're using the remote Vinkius endpoint, just paste the URL into the Custom Connectors section in the claude.ai web settings.

No, this tool is designed to work with structured data you provide directly. You would first need to copy the data from the web page and give it to Claude as a contingency table.

It needs a contingency table. This is just a table of counts for two or more categorical variables, usually provided as a 2D array or a similar structure.

Yes, absolutely. LLMs often 'hallucinate' or make errors when performing precise calculations. This MCP tool performs an exact, deterministic chi-square test, so the results are always correct.

When used with the Claude Desktop app via local configuration, your contingency table data is processed by a subprocess on your own machine. That data never leaves your computer.

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