How to Use the WHOOP MCP in Mastra AI

Q: Can I get a full history of WHOOP workouts using Mastra AI?

Yes. You use getworkouts with date range filtering and pagination support (max 25 results). The framework ensures you pull all pages until the complete workout log is assembled.

Q: Do I need to worry about different WHOOP cycle types with Mastra AI?

No. The core tool getcycles aggregates all 24-hour periods of recovery and strain data, allowing you to analyze any historical period simply by setting the start and end date.

Build resilient WHOOP health workflows using Mastra AI's advanced MCP Server capabilities.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect WHOOP MCP to Mastra AI

Create your Vinkius account to connect WHOOP to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup WHOOP with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated WHOOP recovery analysis

The `get_cycle_recovery` tool pulls the core metrics needed for analyzing a user’s readiness: recovery score, resting heart rate, HRV, and sleep/strain balances. This is perfect for complex multi-step workflows. Mastra AI can use this data in conditional logic; for example, if the recovery score drops below 50, it triggers an alert workflow.

Handling historical WHOOP activity logs

Need a summary of workouts over three months? Use `get_workouts` with date range filtering. This fetches strain scores and GPS data for every specified session. Mastra AI manages the retry logic here. If the first API call fails, it automatically retries the tool invocation until the full dataset is retrieved.

Deep dive into WHOOP sleep performance

The `get_sleep_by_id` function gives you granular details, including respiratory rate and sleep performance percentage. This level of detail isn't always available in standard logs. When a developer uses Mastra AI, they can wrap this tool call with approval gates, requiring human review before acting on the retrieved WHOOP data.

Setup guide

Set up WHOOP MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All WHOOP tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "whoop-mcp-client",
  servers: {
    "whoop-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "WHOOP Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to WHOOP tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent WHOOP transactions"
);
console.log(result.text);

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect WHOOP now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about WHOOP MCP in Mastra AI

You use the workflow engine to chain multiple tools. For instance, pull `get_cycles` first, then pass the resulting IDs to `get_cycle_recovery`. This ensures all data points are captured sequentially.

Mastra AI handles failures gracefully. It implements automatic retries with exponential backoff, meaning it won't just fail out; it'll keep trying until the required data is successfully pulled.

Yes. You use `get_workouts` with date range filtering and pagination support (max 25 results). The framework ensures you pull all pages until the complete workout log is assembled.

This MCP Server touches body measurement data. Because Mastra AI supports `requireToolApproval`, you can build in a human-in-the-loop check before the workflow acts on sensitive metrics.

No. The core tool `get_cycles` aggregates all 24-hour periods of recovery and strain data, allowing you to analyze any historical period simply by setting the start and end date.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript