How to Use the Correlation Matrix Engine MCP in Google ADK

Q: Can I restrict which Google ADK agents use the Correlation Matrix Engine?

Yes, you can apply a toolnames filter to your McpToolset. This ensures only specific agents have the ability to run statistical correlations on your data.

Analyze BigQuery data using the Correlation Matrix Engine and your Google ADK agents.

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Connect Correlation Matrix Engine MCP to Google ADK

Create your Vinkius account to connect Correlation Matrix Engine to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Correlation Matrix Engine with Google ADK

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Google ADK matrix calculations

Your agents now perform statistical analysis on BigQuery exports using `calculate_correlation_matrix`. You skip the manual Python scripts and let the agent manage the flow. Connect the server to your McpToolset and watch the agent pull the numeric data. It handles the input formatting so you don't have to write custom parsing logic.

Leverage long-context Gemini models

Your agent holds massive datasets in its 1M+ token window. It uses the `calculate_correlation_matrix` tool to find relationships across these large tables. The logic stays consistent across even the longest conversations. Your enterprise agents can now reason about statistical trends that span thousands of rows.

Cloud-native tool orchestration

This MCP Server fits right into your existing Google Cloud architecture. You define the server parameters and pass them directly to your LlmAgent configuration. It supports standard HTTP and Stdio transports. You maintain full control over which tools the agent can access by using the tool_names filter.

Setup guide

Set up Correlation Matrix Engine MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Correlation Matrix Engine tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Correlation Matrix Engine_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Correlation Matrix Engine tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Correlation Matrix Engine MCP in Google ADK

You use the McpToolset class with your server's HTTP parameters. Once registered, your LlmAgent treats the matrix tool as a native function within the Google Cloud environment.

No, the tool executes locally and returns results quickly. Your agent stays performant even when calculating complex Pearson matrices on large BigQuery datasets.

Yes, you can apply a tool_names filter to your McpToolset. This ensures only specific agents have the ability to run statistical correlations on your data.

Vinkius provides a secure endpoint token for your server connection. The infrastructure is ephemeral, so your agent's access is restricted to the specific session duration.

Your information is handled in a volatile, isolated sandbox that clears after every request. The system is designed to prevent persistence, ensuring your sensitive business figures are never stored or logged.

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