How do I get WHOOP API credentials?

Visit [**developer.whoop.com**](https://developer.whoop.com/), create an app to get a Client ID and Client Secret. Then complete the OAuth2 flow to obtain an Access Token. All three are required for API access.

What is a WHOOP cycle?

A WHOOP cycle represents a 24-hour period combining your sleep, strain and recovery data. Each cycle starts when you wake up and includes the previous night's sleep, the day's strain, and your recovery score for the next day.

How much historical data can I access?

You can access all historical data recorded by your WHOOP device. Use the start and end date parameters (ISO 8601 format) to filter results. Pagination returns up to 25 records per request; use the nextToken to retrieve more.

Does the API include heart rate data?

Yes! Heart rate data (average and max) is included in the cycle, workout and recovery responses. There's no dedicated heart rate endpoint, but the data is nested within these resources.

WHOOP MCP Server for Google ADK 11 tools — connect in under 2 minutes

Name: WHOOP
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 11 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

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="whoop_agent",
    instruction=(
        "You help users interact with WHOOP "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 WHOOP MCP Server

Connect your WHOOP account to any AI agent and access your personal health data through natural conversation.

Google ADK natively supports WHOOP as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Profile — View your WHOOP profile and body measurements (height, weight, max HR)
Cycles — Browse your 24-hour WHOOP cycles combining sleep, strain and recovery
Sleep — Analyze sleep data with stages (light, deep, REM), duration and performance
Recovery — Track recovery scores, HRV, resting heart rate and sleep balance
Workouts — Review workout data with strain, heart rate zones, duration and calories
Pagination — Navigate through historical data with date ranges and pagination tokens

The WHOOP MCP Server exposes 11 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect WHOOP to Google ADK via MCP

Follow these steps to integrate the WHOOP MCP Server with Google ADK.

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 11 tools from WHOOP via MCP

Why Use Google ADK with the WHOOP MCP Server

Google ADK provides unique advantages when paired with WHOOP 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 WHOOP

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 WHOOP tools with BigQuery, Vertex AI, and Cloud Functions

WHOOP + Google ADK Use Cases

Practical scenarios where Google ADK combined with the WHOOP MCP Server delivers measurable value.

Enterprise data agents: ADK agents query WHOOP and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine WHOOP tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query WHOOP regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including WHOOP

WHOOP MCP Tools for Google ADK (11)

These 11 tools become available when you connect WHOOP to Google ADK via MCP:

get_body_measurement

Useful for tracking physical metrics alongside your WHOOP data. Get your body measurement data

get_cycle

Includes sleep, recovery, strain and heart rate metrics for that 24-hour period. Get a specific WHOOP cycle by ID

get_cycle_recovery

Includes recovery score, resting heart rate, HRV (heart rate variability), sleep balance and strain balance. Get recovery data for a specific WHOOP cycle

get_cycle_sleep

Includes sleep duration, stages (light, deep, REM, awake), disturbances and sleep performance percentage. Get sleep data for a specific WHOOP cycle

get_cycles

Cycles represent 24-hour periods of recovery and strain data. Each cycle includes sleep, recovery, strain and heart rate metrics. Supports date range filtering with start/end in ISO 8601 format. Pagination: max 25 results, use nextToken for more. Get your WHOOP cycle data

get_profile

Use this to verify your authentication is working and get your user ID for other endpoints. Get your WHOOP profile info

get_recovery

Supports date range filtering. Pagination: max 25 results per request. Get your WHOOP recovery data

get_sleep

Supports date range filtering. Pagination: max 25 results. Get your WHOOP sleep data

get_sleep_by_id

Includes full sleep stages, disturbances, respiratory rate and sleep performance. Get a specific WHOOP sleep record by ID

get_workout

Includes strain score, duration, heart rate zones, calories burned and GPS data if available. Get a specific WHOOP workout by ID

get_workouts

Supports date range filtering. Pagination: max 25 results. Get your WHOOP workout data

Example Prompts for WHOOP in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with WHOOP immediately.

"Show me my recovery score from today."

"How did I sleep last night?"

"Show me my workouts from this week."

Troubleshooting WHOOP MCP Server with Google ADK

Common issues when connecting WHOOP to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

WHOOP + Google ADK FAQ

Common questions about integrating WHOOP 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.