Circadian REM Sleep Cycle Optimizer MCP Server for Google ADKGive Google ADK instant access to 4 tools to Calculate Circadian Rhythm, Calculate Nap Times, Calculate Sleep Cycles, and more

Name: Circadian REM Sleep Cycle Optimizer
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Circadian REM Sleep Cycle Optimizer as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The Circadian REM Sleep Cycle Optimizer MCP Server for Google ADK 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

from 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="circadian_rem_sleep_cycle_optimizer_agent",
    instruction=(
        "You help users interact with Circadian REM Sleep Cycle Optimizer "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

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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.

Google ADK natively supports Circadian REM Sleep Cycle Optimizer as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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 Google ADK via MCP

Follow these steps to wire Circadian REM Sleep Cycle Optimizer into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 4 tools from Circadian REM Sleep Cycle Optimizer via MCP

Why Use Google ADK with the Circadian REM Sleep Cycle Optimizer MCP Server

Google ADK provides unique advantages when paired with Circadian REM Sleep Cycle Optimizer 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 Circadian REM Sleep Cycle Optimizer

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 Circadian REM Sleep Cycle Optimizer tools with BigQuery, Vertex AI, and Cloud Functions

Circadian REM Sleep Cycle Optimizer + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Circadian REM Sleep Cycle Optimizer MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Circadian REM Sleep Cycle Optimizer and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Circadian REM Sleep Cycle Optimizer tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Circadian REM Sleep Cycle Optimizer regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Circadian REM Sleep Cycle Optimizer

Example Prompts for Circadian REM Sleep Cycle Optimizer in Google ADK

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

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

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

"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 Google ADK

Common issues when connecting Circadian REM Sleep Cycle Optimizer to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Circadian REM Sleep Cycle Optimizer + Google ADK FAQ

Common questions about integrating Circadian REM Sleep Cycle Optimizer MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.