WHOOP MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect WHOOP through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="WHOOP Assistant",
instructions=(
"You help users interact with WHOOP. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from WHOOP"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 11 tools from WHOOP through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries WHOOP, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the WHOOP MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 11 tools from WHOOP
Why Use OpenAI Agents SDK with the WHOOP MCP Server
OpenAI Agents SDK provides unique advantages when paired with WHOOP through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
WHOOP + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the WHOOP MCP Server delivers measurable value.
Automated workflows: build agents that query WHOOP, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries WHOOP, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through WHOOP tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query WHOOP to resolve tickets, look up records, and update statuses without human intervention
WHOOP MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect WHOOP to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting WHOOP to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
WHOOP + OpenAI Agents SDK FAQ
Common questions about integrating WHOOP MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect WHOOP with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect WHOOP to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.