How to Use the Breathing Timer MCP in Vercel AI SDK

Q: How does the Vercel AI SDK handle complex Breathing Timer sequences?

The client calls generatebreathingschedule to get a full plan. Since the results stream in real-time, your UI can render the sequence steps as they are calculated, avoiding loading spinners entirely.

Q: Can I use the Vercel AI SDK for Breathing Timer functionality?

Absolutely. You'll call querybreathingparameters to get the initial setup data (like inhale/hold times) and then stream the results into your user interface.

Q: Does the Vercel AI SDK support advanced Breathing Timer metrics?

Yes. You can use calculatesinglecycleduration to precisely measure single cycle lengths, which is crucial for displaying accurate, measurable physiological feedback in your application.

Show Breathing Timer data live in your Vercel AI SDK client.

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Create your Vinkius account to connect Breathing Timer 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 Breathing Timer with Vercel AI SDK

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Real-Time Timing Data for the Vercel AI SDK

Need to know what a specific cycle looks like? The `query_breathing_parameters` tool immediately fetches the default timing settings for any breathing technique. This lets your UI client show users exactly what they're expecting before the timer even starts. This is perfect for building highly interactive experiences where the user needs immediate visual confirmation of parameters.

Scheduling Breathing Timers with Vercel AI SDK

The `generate_breathing_schedule` tool crafts a structured session plan based on how long you want the workout to last. It gives your agent the full timeline, so you can display phase transitions—like moving from Box Breathing into 4-7-8—without any jank. It ensures that even complex routines stay perfectly paced for the end user.

Instant Cycle Duration Calculations in Vercel AI SDK

When you only need to know the total time for one cycle, use `calculate_single_cycle_duration`. This tool quickly determines the elapsed time for a given pattern. You can stream this calculation into your React component while it runs. This mechanism keeps your data flow tight and responsive.

Setup guide

Set up Breathing Timer 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 Breathing Timer 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 Breathing Timer 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 Breathing Timer. 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 Breathing Timer MCP in Vercel AI SDK

The client calls `generate_breathing_schedule` to get a full plan. Since the results stream in real-time, your UI can render the sequence steps as they are calculated, avoiding loading spinners entirely.

Absolutely. You'll call `query_breathing_parameters` to get the initial setup data (like inhale/hold times) and then stream the results into your user interface.

Yes. You can use `calculate_single_cycle_duration` to precisely measure single cycle lengths, which is crucial for displaying accurate, measurable physiological feedback in your application.

You pass the tool results directly to your streaming functions. This means that when `generate_breathing_schedule` runs, the data appears live in the component, giving the user instant feedback.

This server handles structured timing parameters and duration calculations for respiratory cycles (e.g., 4s inhale, 7s hold).

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