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Circadian REM Sleep Cycle Optimizer MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 4 tools to Calculate Circadian Rhythm, Calculate Nap Times, Calculate Sleep Cycles, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Circadian REM Sleep Cycle Optimizer 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 Circadian REM Sleep Cycle Optimizer MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 4 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="Circadian REM Sleep Cycle Optimizer Assistant",
            instructions=(
                "You help users interact with Circadian REM Sleep Cycle Optimizer. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Circadian REM Sleep Cycle Optimizer"
        )
        print(result.final_output)

asyncio.run(main())
Circadian REM Sleep Cycle Optimizer
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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 Circadian REM Sleep Cycle Optimizer MCP Server

Managing sleep debt requires biological precision. Artificial Intelligence models generally lack an understanding of human circadian rhythms, suggesting arbitrary '8 hours of sleep' that interrupt deep REM phases and cause morning grogginess. The Circadian REM Optimizer processes strict chronobiology rules natively.

The OpenAI Agents SDK auto-discovers all 4 tools from Circadian REM Sleep Cycle Optimizer through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Circadian REM Sleep Cycle Optimizer, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

Core Value Add

  • REM Phase Harmonization: Computes exact timestamps mapped to natural 90-minute sleep cycles (from 3 to 6 cycles), ensuring you always wake up during light sleep stages.
  • Latency Buffering Engine: Standard sleep math ignores sleep latency. This MCP integrates an adjustable 'fall asleep' buffer (default 15 minutes) into the backward/forward timeline progression.
  • Bidirectional Architecture: Supports both 'wake_up_at' (backward deduction) and 'sleep_at' (forward projection) modes to fit rigid alarm schedules or flexible weekend chronotypes.
  • Zero-Dependency Native Code: The mathematical projection happens securely within the V8 engine, maintaining high-speed responsiveness for health-tech AI workflows.

The Circadian REM Sleep Cycle Optimizer MCP Server exposes 4 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 4 Circadian REM Sleep Cycle Optimizer tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Circadian REM Sleep Cycle Optimizer through Vinkius, your AI agent gets direct access to every tool listed below — spanning circadian-rhythm, sleep-optimization, rem-cycle, 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 circadian rhythm on Circadian REM Sleep Cycle Optimizer

Maps out energy peaks and troughs throughout the day based on wake time

calculate

Calculate nap times on Circadian REM Sleep Cycle Optimizer

Requires wake-up time in HH:mm. Calculates the ideal window for power naps based on wake-up time

calculate

Calculate sleep cycles on Circadian REM Sleep Cycle Optimizer

Provide a targetTimeStr (HH:mm) and the mode (sleep_at or wake_up_at). Calculates optimal wake-up or bedtimes aligned with 90-minute REM sleep phases, incorporating latency buffers for circadian rhythm optimization

calculate

Calculate sleep debt on Circadian REM Sleep Cycle Optimizer

Requires daily required hours and an array of actually slept hours. Calculates accumulated sleep debt and provides an actionable recovery strategy

Connect Circadian REM Sleep Cycle Optimizer to OpenAI Agents SDK via MCP

Follow these steps to wire Circadian REM Sleep Cycle Optimizer 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 4 tools from Circadian REM Sleep Cycle Optimizer

Why Use OpenAI Agents SDK with the Circadian REM Sleep Cycle Optimizer MCP Server

OpenAI Agents SDK provides unique advantages when paired with Circadian REM Sleep Cycle Optimizer 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

Circadian REM Sleep Cycle Optimizer + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Circadian REM Sleep Cycle Optimizer MCP Server delivers measurable value.

01

Automated workflows: build agents that query Circadian REM Sleep Cycle Optimizer, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Circadian REM Sleep Cycle Optimizer, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Circadian REM Sleep Cycle Optimizer tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Circadian REM Sleep Cycle Optimizer to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Circadian REM Sleep Cycle Optimizer in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Circadian REM Sleep Cycle Optimizer immediately.

01

"I need to wake up at 06:30 for work. What are the best times to go to sleep?"

02

"I am going to sleep right now at 23:00. When should I set my alarm?"

03

"Calculate a wake-up schedule for 05:00 assuming it takes me 30 minutes to fall asleep."

Troubleshooting Circadian REM Sleep Cycle Optimizer MCP Server with OpenAI Agents SDK

Common issues when connecting Circadian REM Sleep Cycle Optimizer 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.

Circadian REM Sleep Cycle Optimizer + OpenAI Agents SDK FAQ

Common questions about integrating Circadian REM Sleep Cycle Optimizer 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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