How to Use the WHOOP MCP in Google ADK

Q: How do I verify WHOOP data using the Google ADK?

Start by calling getprofile to confirm your user ID and ensure authentication is solid. Once verified, you can proceed with specific queries like checking general recovery trends.

Q: What kinds of WHOOP metrics are accessible via Google ADK?

The MCP Server supports a full range: workout data (getworkouts), deep sleep analysis (getsleepbyid), body measurements (getbodymeasurement), and cycle-specific recovery scores.

Q: Can the Google ADK handle large datasets for WHOOP?

Yes. Tools like getrecovery support date range filtering and pagination, allowing your agent to pull thousands of records over time without hitting limits in a single call.

Q: If I need specific sleep data, what tool should Google ADK use?

Use either getsleep for general date range checks or getsleepbyid if you already have the record ID. Both give you full stages and performance percentages.

Ingest WHOOP health data into BigQuery with your Google ADK agent.

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Connect WHOOP MCP to Google ADK

Create your Vinkius account to connect WHOOP to Google ADK 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 WHOOP with Google ADK

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Track physical metrics using the MCP Server

Want to pair fitness numbers with body measurements? Use `get_body_measurement` to pull in that supplementary data. This helps you build a complete picture alongside your core WHOOP readings. You can also get general cycle information via `get_cycles`. It bundles sleep, recovery, strain, and heart rate metrics for any 24-hour period.

Analyze health trends with Google ADK

Need to see how fitness changes over time? The `get_recovery` tool lets you pull WHOOP recovery data across a date range. You'll get the scores, resting heart rate, and HRV for that period. For sleep patterns, use `get_sleep` or `get_cycle_sleep`. These tools deliver sleep duration, stages (like deep or REM), and overall performance percentages.

Get detailed workout logs with the MCP Server

When building enterprise agents on Google Cloud, you need reliable fitness data. Call `get_workout` by ID to get strain score, heart rate zones, and calories burned for a specific exercise. To build a full logbook, use `get_workouts`. This lets your agent fetch WHOOP workout records over time, managing pagination up to 25 results.

Setup guide

Set up WHOOP MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with WHOOP tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="WHOOP_agent",
    model="gemini-2.0-flash",
    instruction="You have access to WHOOP tools via MCP.",
    tools=mcp_tools,
)

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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 WHOOP. 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 WHOOP MCP in Google ADK

Start by calling `get_profile` to confirm your user ID and ensure authentication is solid. Once verified, you can proceed with specific queries like checking general recovery trends.

The MCP Server supports a full range: workout data (`get_workouts`), deep sleep analysis (`get_sleep_by_id`), body measurements (`get_body_measurement`), and cycle-specific recovery scores.

Yes. Tools like `get_recovery` support date range filtering and pagination, allowing your agent to pull thousands of records over time without hitting limits in a single call.

Use either `get_sleep` for general date range checks or `get_sleep_by_id` if you already have the record ID. Both give you full stages and performance percentages.

The server deals with physiological metrics including strain score, heart rate variability (HRV), sleep stage details, and body measurements. This is highly sensitive health information.

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