Statistics Engine MCP Server for Google ADKGive Google ADK instant access to 5 tools to Calculate Mean, Calculate Median, Calculate Mode, and more

Name: Statistics Engine
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

Ask AI about this MCP Server for Google ADK

Open in ChatGPT Open in Claude Open in Perplexity

The Statistics Engine MCP Server for Google ADK is a standout in the Data Analytics category — giving your AI agent 5 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

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Gemini

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VS Code

JetBrains

Vercel

+ other MCP clients

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="statistics_engine_agent",
    instruction=(
        "You help users interact with Statistics Engine "
        "using 5 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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IAMAccess control

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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 Statistics Engine MCP Server

Large Language Models often struggle with complex statistical aggregations and dataset analysis, leading to subtle analytical errors. The Statistics Engine MCP Server eliminates this risk by equipping your autonomous agents with a highly optimized, local JavaScript computational core.

Google ADK natively supports Statistics Engine as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

The Superpowers

Flawless Data Analysis: Calculate mean, median, mode, standard deviations, and percentiles with 100% mathematical certainty.
Absolute Data Privacy: Your sensitive business metrics, financial datasets, or user telemetry never leave your local infrastructure. Zero API calls.
Zero Latency Engine: Process data arrays instantaneously within the local environment without network overhead.

Stop trusting LLMs to do math on arrays. Equip your agent with a real, deterministic statistical engine.

The Statistics Engine MCP Server exposes 5 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 5 Statistics Engine tools available for Google ADK

When Google ADK connects to Statistics Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning statistical-analysis, math-engine, data-processing, 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 mean on Statistics Engine

Calculates the mathematical mean (average) of a dataset

calculate

Calculate median on Statistics Engine

Calculates the median (middle value) of a dataset

calculate

Calculate mode on Statistics Engine

It returns an array of numbers. Calculates the mode (most frequent value) of a dataset

calculate

Calculate percentile on Statistics Engine

Calculates the k-th percentile of a dataset

calculate

Calculate standard deviation on Statistics Engine

Calculates the population standard deviation of a dataset

Connect Statistics Engine to Google ADK via MCP

Follow these steps to wire Statistics 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 5 tools from Statistics Engine via MCP

Why Use Google ADK with the Statistics Engine MCP Server

Google ADK provides unique advantages when paired with Statistics 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 Statistics 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 Statistics Engine tools with BigQuery, Vertex AI, and Cloud Functions

Statistics Engine + Google ADK Use Cases

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

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

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

Automated compliance checks: schedule ADK agents to query Statistics 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 Statistics Engine

Example Prompts for Statistics Engine in Google ADK

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

"Here is the latency data for our server today. Calculate the 95th percentile (p95): [102, 105, 110, 150, 400, 108, 112]."

"What is the standard deviation for the daily active users this week: [1500, 1520, 1490, 1550, 2100, 1510, 1480]?"

"Identify the mode (most common value) from this array of rating scores: [5, 4, 5, 5, 3, 2, 5, 4, 4]."

Troubleshooting Statistics Engine MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Statistics Engine + Google ADK FAQ

Common questions about integrating Statistics 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.

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