How to Use the Egg Boiling Timer MCP in OpenAI Agents SDK

Build production culinary agents with OpenAI Agents SDK to hit exact temperatures every single time.

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Connect Egg Boiling Timer MCP to OpenAI Agents SDK

Create your Vinkius account to connect Egg Boiling Timer to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Egg Boiling Timer with OpenAI Agents SDK

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Thermodynamic precision for your MCP

This MCP brings absolute thermal predictability to your AI client. You need exact durations for heat transfer, not guesses. Call `calculate_boiling_time` to get the raw math. Pass the starting temperature and mass. The agent handles the execution while you watch the clock.

Guardrails for kitchen variables

Look, bad inputs ruin good food. You can't boil a frozen egg in three minutes. The `validate_egg_parameters` function acts as your line cook checking the prep station. It catches absurd measurements before the OpenAI Agents SDK wastes tokens on a failed run. Keep it simple.

Standardized doneness profiles

People argue about what medium-rare means. I hate that. We define exact states using `get_texture_descriptions` so your system knows exactly what the user expects. A jammy yolk has a specific viscosity. That's the science of it.

Setup guide

Set up Egg Boiling Timer MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Egg Boiling Timer tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Egg Boiling Timer tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Egg Boiling Timer tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Egg Boiling Timer Agent",
            instructions="You have access to Egg Boiling Timer tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Egg Boiling Timer. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Egg Boiling Timer MCP in OpenAI Agents SDK

Cut to the chase. Install the package via pip. Pass the HTTP URL to MCPServerStreamableHttp and drop it into your agent constructor.

Yes. Set cacheToolsList to true in your parameters. Your agent will skip the discovery phase on subsequent runs.

It handles the specific heat calculations. You let the framework manage the handoffs between your recipe agent and the timer agent.

The validation catches it immediately. The system rejects the input and prompts the user for a real measurement. Don't let bad data through.

The only data moving through the connection is egg weight and starting temperature. No personal information gets logged. Your kitchen secrets stay local.

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