Confusion Matrix Engine MCP Server for Google ADKGive Google ADK instant access to 1 tools to Calculate Confusion Matrix
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Confusion Matrix 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
The Confusion Matrix 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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom 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="confusion_matrix_engine_agent",
instruction=(
"You help users interact with Confusion Matrix Engine "
"using 1 available tools."
),
tools=[mcp_tools],
)
* 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 Confusion Matrix Engine MCP Server
Language models are probabilistic text generators, not calculators. When asked to evaluate classification arrays to produce F1-Scores or Precision/Recall metrics, they frequently hallucinate decimals and fail edge cases. The Confusion Matrix Engine offloads this critical Data Science task to a deterministic, local JavaScript runtime. It accepts arrays of actual vs. predicted labels and instantly computes mathematically perfect True Positives, True Negatives, False Positives, False Negatives, and overall Accuracy.
Google ADK natively supports Confusion Matrix 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.
The Confusion Matrix 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 Confusion Matrix Engine tools available for Google ADK
When Google ADK connects to Confusion Matrix Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning machine-learning, model-evaluation, data-science, 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 confusion matrix on Confusion Matrix Engine
Provide arrays of labels. Calculates exact confusion matrix and accuracy from actual and predicted arrays
Connect Confusion Matrix Engine to Google ADK via MCP
Follow these steps to wire Confusion Matrix Engine into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Confusion Matrix Engine MCP Server
Google ADK provides unique advantages when paired with Confusion Matrix 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 Confusion Matrix 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 Confusion Matrix Engine tools with BigQuery, Vertex AI, and Cloud Functions
Confusion Matrix Engine + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Confusion Matrix Engine MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Confusion Matrix Engine and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Confusion Matrix Engine tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Confusion Matrix 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 Confusion Matrix Engine
Example Prompts for Confusion Matrix Engine in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Confusion Matrix Engine immediately.
"Here are my actual labels: ['cat','dog','cat']. And predictions: ['cat','cat','cat']. Calculate the exact accuracy and confusion matrix."
"I have 100 binary predictions (1s and 0s) and their actual outcomes. Can you generate the confusion matrix to find the False Positives?"
"Run these actual values and predicted values through the confusion matrix tool and tell me if the model is biased toward class A."
Troubleshooting Confusion Matrix Engine MCP Server with Google ADK
Common issues when connecting Confusion Matrix Engine to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkConfusion Matrix Engine + Google ADK FAQ
Common questions about integrating Confusion Matrix Engine MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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