Chi-Square Test Engine MCP Server for Google ADKGive Google ADK instant access to 1 tools to Calculate Chi Square

Name: Chi-Square 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 Chi-Square 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 Chi-Square Test Engine MCP Server for Google ADK is a standout in the Data Analytics category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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="chi_square_test_engine_agent",
    instruction=(
        "You help users interact with Chi-Square Test Engine "
        "using 1 available tools."
    ),
    tools=[mcp_tools],
)

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About 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.

Google ADK natively supports Chi-Square 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 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.

The Chi-Square 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 Chi-Square Test Engine tools available for Google ADK

When Google ADK connects to Chi-Square Test Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning statistics, data-analysis, categorical-data, 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.

calculate

Calculate chi square on Chi-Square Test Engine

Perform exact deterministic Chi-Square tests of independence on categorical contingency tables without LLM math hallucinations

Connect Chi-Square Test Engine to Google ADK via MCP

Follow these steps to wire Chi-Square 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 Chi-Square Test Engine via MCP

Why Use Google ADK with the Chi-Square Test Engine MCP Server

Google ADK provides unique advantages when paired with Chi-Square 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 Chi-Square 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 Chi-Square Test Engine tools with BigQuery, Vertex AI, and Cloud Functions

Chi-Square Test Engine + Google ADK Use Cases

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

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

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

Automated compliance checks: schedule ADK agents to query Chi-Square 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 Chi-Square Test Engine

Example Prompts for Chi-Square Test Engine in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Chi-Square Test Engine immediately.

"Is there a statistically significant relationship between user gender and subscription tier?"

"Check if the distribution of customer complaints varies by product category."

"Run a chi-square test on this survey data to see if education level affects voting preference."

Troubleshooting Chi-Square Test Engine MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Chi-Square Test Engine + Google ADK FAQ

Common questions about integrating Chi-Square 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.