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Confusion Matrix Engine MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to Calculate Confusion Matrix

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Confusion Matrix Engine through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The Confusion Matrix Engine MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 1 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

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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Confusion Matrix Engine Assistant",
            instructions=(
                "You help users interact with Confusion Matrix Engine. "
                "You have access to 1 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Confusion Matrix Engine"
        )
        print(result.final_output)

asyncio.run(main())
Confusion Matrix Engine
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* 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.

The OpenAI Agents SDK auto-discovers all 1 tools from Confusion Matrix Engine through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Confusion Matrix Engine, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

The Confusion Matrix Engine MCP Server exposes 1 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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

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 OpenAI Agents SDK via MCP

Follow these steps to wire Confusion Matrix Engine into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 1 tools from Confusion Matrix Engine

Why Use OpenAI Agents SDK with the Confusion Matrix Engine MCP Server

OpenAI Agents SDK provides unique advantages when paired with Confusion Matrix Engine through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Confusion Matrix Engine + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Confusion Matrix Engine MCP Server delivers measurable value.

01

Automated workflows: build agents that query Confusion Matrix Engine, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Confusion Matrix Engine, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Confusion Matrix Engine tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Confusion Matrix Engine to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Confusion Matrix Engine in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Confusion Matrix Engine immediately.

01

"Here are my actual labels: ['cat','dog','cat']. And predictions: ['cat','cat','cat']. Calculate the exact accuracy and confusion matrix."

02

"I have 100 binary predictions (1s and 0s) and their actual outcomes. Can you generate the confusion matrix to find the False Positives?"

03

"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 OpenAI Agents SDK

Common issues when connecting Confusion Matrix Engine to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Confusion Matrix Engine + OpenAI Agents SDK FAQ

Common questions about integrating Confusion Matrix Engine MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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