Bring Statistics
to Windsurf
Learn how to connect Chi-Square Test Engine to Windsurf and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Chi-Square Test Engine MCP Server?
The Chi-Square test determines whether two categorical variables are independent. Asking an LLM to compute expected frequencies across a matrix and then sum the chi² residuals is a recipe for hallucinated results.
This MCP computes the full test deterministically using jstat. The AI sends the observed frequency matrix, and the engine calculates exact expected frequencies, the chi² statistic, degrees of freedom, and the p-value — all locally on your CPU.
The Superpowers
- Zero Hallucination: Exact chi² statistics computed deterministically.
- Automatic Expected Frequencies: The engine builds the entire expected matrix internally.
- Any Matrix Size: Supports 2x2, 3x3, or larger contingency tables.
- Data Privacy: Your survey and business data stays local.
Built-in capabilities (1)
Perform exact deterministic Chi-Square tests of independence on categorical contingency tables without LLM math hallucinations
Why Windsurf?
Windsurf's Cascade agent chains multiple Chi-Square Test Engine tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 1 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
- —
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
- —
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
- —
JSON-based configuration means zero code changes: paste a URL, reload, and all 1 tools are immediately available
- —
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Chi-Square Test Engine in Windsurf
Chi-Square Test Engine and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Chi-Square Test Engine to Windsurf through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Chi-Square Test Engine in Windsurf
The Chi-Square Test Engine MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 1 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Windsurf only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Chi-Square Test Engine for Windsurf
Every tool call from Windsurf to the Chi-Square Test Engine MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
What is a contingency table?
It's a matrix showing the frequency distribution of two categorical variables (e.g., rows = Gender, columns = Subscription Tier). The AI will automatically convert your raw data into this format.
Does it handle expected frequencies below 5?
The engine computes the result regardless, but the AI is instructed to warn you when expected frequencies are low, as the chi² approximation becomes less reliable in those cases.
Can it test more than two variables at once?
This engine performs a single pairwise independence test per execution. For multi-variable analysis, the AI can chain multiple calls to test different variable pairs sequentially.
How does Windsurf discover MCP tools?
Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
Can Cascade chain multiple MCP tool calls?
Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
Does Windsurf support multiple MCP servers?
Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.
Server not connecting
Check Settings → MCP for the server status. Try toggling it off and on.
Explore More MCP Servers
View all →
TollGuru
3 toolsCalculate tolls and trip costs via TollGuru — get toll plaza details, fuel costs, and route optimization for any route across 50+ countries from any AI agent.
Netlify Alternative
9 toolsModern web development platform — manage sites, deploys, and forms via AI.
RentCast Alternative
6 toolsAccess real-time real estate data, property records, and rental market analytics directly from your AI agent.
H2O.ai
6 toolsManage AI models via H2O.ai — track data frames, monitor machine learning models and training jobs, and audit cloud cluster status directly from any AI agent.