How to Use the Normality Test Engine MCP in Windsurf

Stop guessing your data distribution. Let Windsurf use the Normality Test Engine to validate your statistical assumptions automatically.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Normality Test Engine MCP to Windsurf

Create your Vinkius account to connect Normality Test Engine to Windsurf 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 Normality Test Engine with Windsurf

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate normality checks in Windsurf

Cascade doesn't just guess if your data is normal. It calls `test_normality` to get objective skewness and kurtosis metrics before you run a single parametric test. You set the goal, and the server handles the math. No more hallucinated stats in your codebase.

Chain statistical validation steps

Windsurf executes multi-step workflows by linking `test_normality` results directly into your analysis scripts. It reads the output and adjusts your model selection without manual intervention. This ensures your code stays grounded in reality. You get clean, validated logic in every iteration.

Zero-latency local data analysis

The server runs locally via Vinkius, meaning your data never leaves your machine. Windsurf pipes your arrays into `test_normality` and gets an instant, deterministic answer. Forget sending sensitive datasets to external APIs. You keep control while the agent does the heavy lifting.

Setup guide

Set up Normality Test Engine MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Normality Test Engine MCP

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

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Normality Test Engine payment history." If connected, Cascade will call the Normality Test Engine tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "normality-test-engine-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 simple-statistics. 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 Normality Test Engine 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 Normality Test Engine MCP in Windsurf

Add the server entry to your MCP configuration file. Once you click refresh in the MCP panel, Cascade discovers the `test_normality` tool and can call it immediately.

Yes. Cascade parses the skewness and kurtosis values returned by the tool. It then makes an informed decision on whether to proceed with parametric or non-parametric tests.

It is. The tool uses deterministic math rather than probabilistic estimation. You get exact values, not vague assertions, every time you run it.

Your data remains on your local machine. The MCP server processes numeric arrays in a sandboxed environment without uploading anything to external servers.

You can. The tool handles numeric lists efficiently. If you have massive arrays, ensure they are passed as flat lists to avoid validation errors.

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