Normality Test Engine MCP Server for Google ADKGive Google ADK 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

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Normality Test Engine as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The Normality Test Engine MCP Server for Google ADK 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

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python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="normality_test_engine_agent",
    instruction=(
        "You help users interact with Normality Test Engine "
        "using 1 available tools."
    ),
    tools=[mcp_tools],
)

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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.

Google ADK natively supports Normality Test Engine as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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 Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 1 tools from Normality Test Engine via MCP

Why Use Google ADK with the Normality Test Engine MCP Server

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

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Normality Test Engine

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Normality Test Engine tools with BigQuery, Vertex AI, and Cloud Functions

Normality Test Engine + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Normality Test Engine and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Normality Test Engine tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Normality Test Engine regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Normality Test Engine

Example Prompts for Normality Test Engine in Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Normality Test Engine + Google ADK FAQ

Common questions about integrating Normality Test Engine MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.