Normality Test Engine MCP Server for LlamaIndexGive LlamaIndex instant access to 1 tools to Test Normality

Name: Normality Test Engine
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Normality Test Engine as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

Open in ChatGPT Open in Claude Open in Perplexity

The Normality Test Engine MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Normality Test Engine. "
            "You have 1 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Normality Test Engine?"
    )
    print(response)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About Normality Test Engine MCP Server

Before running t-tests, ANOVA, or linear regression, you need to verify that your data is normally distributed. LLMs cannot eyeball a distribution from raw numbers — they will guess and often guess wrong.

LlamaIndex agents combine Normality Test Engine tool responses with indexed documents for comprehensive, grounded answers. Connect 1 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

This MCP uses simple-statistics to compute exact Skewness and Kurtosis coefficients, then applies a Jarque-Bera test to determine normality. The AI gets a definitive pass/fail verdict with the exact test statistic and p-value.

The Superpowers

Zero Hallucination: Exact statistical coefficients computed locally.
Automated Verdict: Returns a clear 'normal' or 'not normal' interpretation.
Descriptive Statistics: Also provides exact Mean, Std Dev, Skewness, and Kurtosis.
Data Privacy: Your research data stays entirely on your local machine.

The Normality Test Engine MCP Server exposes 1 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Normality Test Engine tools available for LlamaIndex

When LlamaIndex connects to Normality Test Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning statistics, data-science, normality-test, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

test

Test normality on Normality Test Engine

Perform an exact deterministic Jarque-Bera normality test on numeric data without LLM math hallucinations

Connect Normality Test Engine to LlamaIndex via MCP

Follow these steps to wire Normality Test Engine into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 1 tools from Normality Test Engine

Why Use LlamaIndex with the Normality Test Engine MCP Server

LlamaIndex provides unique advantages when paired with Normality Test Engine through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Normality Test Engine tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Normality Test Engine tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Normality Test Engine, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Normality Test Engine tools were called, what data was returned, and how it influenced the final answer

Normality Test Engine + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Normality Test Engine MCP Server delivers measurable value.

Hybrid search: combine Normality Test Engine real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Normality Test Engine to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Normality Test Engine for fresh data

Analytical workflows: chain Normality Test Engine queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Normality Test Engine in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Normality Test Engine immediately.

"Check if this residuals array is normally distributed before I run my regression."

"Is this sensor data normally distributed or should I use a non-parametric test?"

"Run a normality test on the 'Revenue' column before I calculate confidence intervals."

Troubleshooting Normality Test Engine MCP Server with LlamaIndex

Common issues when connecting Normality Test Engine to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Normality Test Engine + LlamaIndex FAQ

Common questions about integrating Normality Test Engine MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Normality Test Engine tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.