Normality Test Engine MCP Server for AutoGenGive AutoGen instant access to 1 tools to Test Normality
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Normality Test Engine as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Normality Test Engine MCP Server for AutoGen is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="normality_test_engine_agent",
tools=tools,
system_message=(
"You help users with Normality Test Engine. "
"1 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Normality Test Engine tools. Connect 1 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 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 AutoGen via MCP
Follow these steps to wire Normality Test Engine into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Normality Test Engine MCP Server
AutoGen provides unique advantages when paired with Normality Test Engine through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Normality Test Engine tools to solve complex tasks
Role-based architecture lets you assign Normality Test Engine tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Normality Test Engine tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Normality Test Engine tool responses in an isolated environment
Normality Test Engine + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Normality Test Engine MCP Server delivers measurable value.
Collaborative analysis: one agent queries Normality Test Engine while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Normality Test Engine, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Normality Test Engine data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Normality Test Engine responses in a sandboxed execution environment
Example Prompts for Normality Test Engine in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Normality Test Engine to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Normality Test Engine + AutoGen FAQ
Common questions about integrating Normality Test Engine MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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