How to Use the WHOOP MCP in Vercel AI SDK

Q: How does WHOOP integration work with the Vercel AI SDK?

You call mcpClient.tools() and pass those tools into your generation function. When the user needs recovery data, your agent calls the appropriate tool, and you stream the result directly to the front end.

Q: Can I check multiple WHOOP cycles with the Vercel AI SDK?

Yes. The getcycles tool supports date range filtering and pagination (max 25 results). You can pull broad historical views of your recovery and strain metrics.

Q: If I need a single WHOOP workout record, what tool do I use with Vercel AI SDK?

Use getworkout and provide the specific ID. This gives you immediate access to strain score, heart rate zones, and GPS data for that exact session.

See WHOOP health data stream live into your UI using the Vercel AI SDK.

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Connect WHOOP MCP to Vercel AI SDK

Create your Vinkius account to connect WHOOP to Vercel AI SDK 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 Vercel AI SDK

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Real-time body metrics via MCP Server

The `get_body_measurement` tool pulls physical metrics alongside your standard WHOOP readings. This lets you display current weight, circumference, or other measurements instantly in the UI. You can stream this data directly into a React component. Instead of showing 'loading,' the user sees the numbers appear live as your agent retrieves them.

Streaming WHOOP workout records

Use `get_workouts` to fetch historical activity logs for display in real-time. Each record includes strain score, duration, and calories burned from a specific session. The Vercel AI SDK handles the stream. When your agent calls this tool, you'll get workout data appearing on screen instantly—perfect for dashboards.

Monitoring WHOOP recovery in real-time

The `get_cycle_recovery` function delivers key metrics like the recovery score, resting heart rate, and HRV (heart rate variability) for a given period. This is crucial data to show users immediately. You can build a live dashboard widget that updates as your agent streams the latest WHOOP cycle data through the Vercel AI SDK.

Setup guide

Set up WHOOP MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all WHOOP tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent WHOOP transactions",
});

console.log(text);
await mcpClient.close();

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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 Vercel AI SDK

You call `mcpClient.tools()` and pass those tools into your generation function. When the user needs recovery data, your agent calls the appropriate tool, and you stream the result directly to the front end.

You'll get detailed sleep stages—light, deep, REM, awake—using `get_sleep`. You can also grab a single night's full details, including respiratory rate, via `get_sleep_by_id`.

Yes. The `get_cycles` tool supports date range filtering and pagination (max 25 results). You can pull broad historical views of your recovery and strain metrics.

This MCP Server touches body measurement data. Authentication requires an endpoint token, keeping the connection secure while allowing live data streams for user-facing apps.

Use `get_workout` and provide the specific ID. This gives you immediate access to strain score, heart rate zones, and GPS data for that exact session.

Use it with your favorite AI tools

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

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