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

Q: How does the Chi-Square Test Engine work with Windsurf's Cascade agent?

Cascade sees calculatechisquare as a new capability. When your goal involves checking a hypothesis on categorical data, Cascade can automatically plan a step to format the data into a contingency table and send it to this tool for analysis.

Run accurate Chi-Square tests on your data without leaving your editor. Let Windsurf's Cascade agent handle the math for you.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Chi-Square Test Engine MCP to Windsurf

Create your Vinkius account to connect Chi-Square 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 Chi-Square Test Engine with Windsurf

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get Accurate Stats, Instantly

The `calculate_chi_square` tool runs a deterministic Chi-Square test of independence. You give Cascade a goal like 'check if user segment affects feature adoption from this table', and it gets the chi-squared statistic and p-value for you. No LLM hallucinations, just CPU-guaranteed math. This means you can validate hypotheses right inside your project. Cascade can read a file, build the contingency table, run the test with this MCP Server, and summarize the findings. It all happens in one autonomous flow, so you don't have to babysit each step.

Validate Data Without Writing Code

Stop switching contexts to run a quick statistical check. You don't need to spin up a notebook or write a script. Just point Windsurf at your data and ask your question. Cascade uses the `calculate_chi_square` tool to confirm if the relationships in your categorical data are statistically significant. It’s perfect for checking survey results, A/B test outcomes, or user behavior patterns before you commit to building a new feature based on a hunch.

A Focused, Reliable MCP Server

This server does one thing and does it perfectly: Chi-Square tests. It's not a bloated data science platform. It’s a sharp, fast tool for a specific job. Because it's a dedicated MCP tool, Windsurf knows exactly what to expect. You get a reliable, structured response every time, which makes Cascade's autonomous planning more effective. It just works.

Setup guide

Set up Chi-Square 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 Chi-Square 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 Chi-Square Test Engine payment history." If connected, Cascade will call the Chi-Square Test Engine tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "chi-square-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 jstat. 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 Chi-Square 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 Chi-Square Test Engine MCP in Windsurf

Cascade sees `calculate_chi_square` as a new capability. When your goal involves checking a hypothesis on categorical data, Cascade can automatically plan a step to format the data into a contingency table and send it to this tool for analysis.

You need categorical data that can be organized into a contingency table, which is just a table of frequencies. For example, you could test if different user plans (category A) correspond to different levels of feature usage (category B).

Not at all. The easiest way is to find it in Windsurf's built-in MCP Marketplace and click install. You can also add the server URL directly in your settings if you prefer.

This server offloads the computation and removes the need to manage dependencies in your project. Your agent gets a simple, consistent API for statistical tests that works across any project without extra setup.

No. Your contingency table data is processed in an ephemeral, sandboxed environment and immediately discarded. Vinkius only handles the computation and never logs or stores your raw numbers.

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

Vercel AI SDK sdk-typescript