How to Use the Circadian REM Sleep Cycle Optimizer MCP in OpenAI Agents SDK

Q: Can I build a morning routine agent using the Circadian REM Sleep Cycle Optimizer and OpenAI Agents SDK?

Yes. Your agent could call the calculatecircadianrhythm tool first thing in the morning. It would get back your predicted energy highs and lows for the day, which it could then use to schedule deep work sessions or breaks.

Build production agents that manage sleep cycles and recovery plans with the safety and tracing of the OpenAI Agents SDK.

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Connect Circadian REM Sleep Cycle Optimizer MCP to OpenAI Agents SDK

Create your Vinkius account to connect Circadian REM Sleep Cycle Optimizer to OpenAI Agents SDK 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 Circadian REM Sleep Cycle Optimizer with OpenAI Agents SDK

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Map Out Your Day's Energy

This MCP Server gives your agent two tools to plan a day around your internal clock. The `calculate_circadian_rhythm` tool maps out your personal energy peaks and troughs based on when you wake up. Then, `calculate_nap_times` finds the ideal window for a power nap. With the OpenAI Agents SDK, you can build specialized agents for these tasks. One agent could handle the daily rhythm planning, while another focuses on nap suggestions. The SDK's built-in tracing lets you see exactly why a specific time was recommended right in your OpenAI dashboard.

Nail Your Sleep Timing with OpenAI Agents

The `calculate_sleep_cycles` tool finds the best time to go to bed or wake up. It works backward or forward from your target time, aligning with natural 90-minute sleep cycles to make sure you wake up feeling refreshed, not groggy. When you use this with the OpenAI Agents SDK, you get an extra layer of safety. The SDK's guardrails can validate agent actions before they run, preventing your agent from requesting a wake-up time in the past or using other invalid inputs. That's how you build a reliable, production-ready wellness tool.

Automate Sleep Debt Recovery

The `calculate_sleep_debt` tool calculates your sleep deficit based on how much you need versus how much you've actually slept. It doesn't just give you a number; it provides a concrete recovery plan to get you back on track. This is perfect for the multi-agent workflows in the OpenAI SDK. For instance, one agent could collect your sleep hours, pass them to this tool, get the recovery plan, and then hand off to another agent that blocks out time on your calendar. It's a practical way to automate your own well-being.

Setup guide

Set up Circadian REM Sleep Cycle Optimizer 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 Circadian REM Sleep Cycle Optimizer tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Circadian REM Sleep Cycle Optimizer tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Circadian REM Sleep Cycle Optimizer 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="Circadian REM Sleep Cycle Optimizer Agent",
            instructions="You have access to Circadian REM Sleep Cycle Optimizer tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Circadian REM Sleep Cycle Optimizer MCP in OpenAI Agents SDK

You just add the Vinkius MCP Server endpoint to your agent's configuration. The OpenAI Agents SDK automatically discovers the four sleep-calculation tools and makes them available for your agent to call, with no extra code needed.

Yes. Your agent could call the `calculate_circadian_rhythm` tool first thing in the morning. It would get back your predicted energy highs and lows for the day, which it could then use to schedule deep work sessions or breaks.

Your agent can collect an array of your nightly sleep hours and send it to the `calculate_sleep_debt` tool. The tool returns a total deficit and a plan to fix it. The SDK's tracing makes it easy to debug the entire interaction.

You don't host anything. This is a managed MCP Server hosted by Vinkius. You get a secure endpoint token, and Vinkius handles all the infrastructure, security, and maintenance.

The server only processes the data needed for the calculations: your wake-up time, target sleep times, and a list of hours slept. Each request runs in an ephemeral, zero-trust sandbox on Vinkius that is destroyed immediately after. Your data isn't stored.

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